{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}\\file\UsersW$\wrr15\Home\My Documents\My Files\TAXES AND ECONOMIC GROWTH IN OECD COUNTRIES - A META-ANALYSIS\SUBMISSION TO PFR\DATA AND PROGRAMS\Part3 Results(20200102).smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 3 Jan 2020, 07:35:25
{txt}
{com}. set more off
{txt}
{com}. set type double 
{txt}
{com}. graph drop _all
{txt}
{com}. import excel "TAX.xlsx", sheet("Stata") firstrow case (lower)
{res}{text}(140 vars, 713 obs)

{com}. gen endog = (tsls == 1 | gmm == 1)
{txt}
{com}. gen predamb = predother
{txt}
{com}. 
. // Creating Dummy Variables for Subdividing TaxNegative
. gen predneglabor = 0
{txt}
{com}. gen prednegcapital = 0
{txt}
{com}. gen prednegother = 0
{txt}
{com}. replace predneglabor = 1 if predneg == 1 & labourtax == 1
{txt}(45 real changes made)

{com}. replace prednegcapital = 1 if predneg == 1 & capitaltax == 1
{txt}(29 real changes made)

{com}. replace prednegother = predneg - predneglabor - prednegcapital
{txt}(82 real changes made)

{com}. tab predneg 

   {txt}Pred-Neg {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        557       78.12       78.12
{txt}          1 {c |}{res}        156       21.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        713      100.00
{txt}
{com}. tab predneglabor 

{txt}predneglabo {c |}
          r {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        668       93.69       93.69
{txt}          1 {c |}{res}         45        6.31      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        713      100.00
{txt}
{com}. tab prednegcapital 

{txt}prednegcapi {c |}
        tal {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        684       95.93       95.93
{txt}          1 {c |}{res}         29        4.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        713      100.00
{txt}
{com}. tab prednegother

{txt}prednegothe {c |}
          r {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        631       88.50       88.50
{txt}          1 {c |}{res}         82       11.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        713      100.00
{txt}
{com}. 
. // Creating Dummy Variables for Subdividing TaxAmbiguous
. gen predamblabor = 0
{txt}
{com}. gen predambcapital = 0
{txt}
{com}. gen predambother = 0
{txt}
{com}. replace predamblabor = 1 if predamb == 1 & labourtax == 1
{txt}(94 real changes made)

{com}. replace predambcapital = 1 if predamb == 1 & capitaltax == 1
{txt}(57 real changes made)

{com}. replace predambother = predamb - predamblabor - predambcapital
{txt}(356 real changes made)

{com}. tab predamb

    {txt}predamb {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        206       28.89       28.89
{txt}          1 {c |}{res}        507       71.11      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        713      100.00
{txt}
{com}. tab predamblabor 

{txt}predamblabo {c |}
          r {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        619       86.82       86.82
{txt}          1 {c |}{res}         94       13.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        713      100.00
{txt}
{com}. tab predambcapital 

{txt}predambcapi {c |}
        tal {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        656       92.01       92.01
{txt}          1 {c |}{res}         57        7.99      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        713      100.00
{txt}
{com}. tab predambother

{txt}predambothe {c |}
          r {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        357       50.07       50.07
{txt}          1 {c |}{res}        356       49.93      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        713      100.00
{txt}
{com}. 
. quietly summ coefficient, detail
{txt}
{com}. scalar low = r(p5)
{txt}
{com}. scalar high = r(p95)
{txt}
{com}. keep if coefficient > low & coefficient < high
{txt}(72 observations deleted)

{com}. 
. // For later Random Effects estimation
. metareg coefficient peerreviewed pubyear cs length midyear gdp marginal differenced etr  ///
> investment tradeopenness human popgrowth employgrowth unemployment inflation income laggeddv ///
> countryfe sehac sehet lrcase2 lrcase3 gls endog eu15 g7 eumem ///
> labourtax capitaltax othertaxes mixedtaxes overalltax predneg predpos se, wsse(se)

{txt}Meta-regression{col 55}Number of obs{col 70}= {res}    641
REML{txt} estimate of between-study variance{col 55}tau2{col 70}={res} .004458
{txt}% residual variation due to heterogeneity{col 55}I-squared_res{col 70}= {res} 68.56%
{txt}Proportion of between-study variance explained{col 55}Adj R-squared {col 70}= {res} 62.13%
{txt}Joint test for all covariates{col 55}Model F({res}36{txt},{res}604{txt}){col 70}= {res}  15.00
With{txt} Knapp-Hartung modification{col 55}Prob > F{col 70}= {res} 0.0000
{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     coefficient{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}peerreviewed {c |}{col 18}{res}{space 2} .0208276{col 30}{space 2} .0129336{col 41}{space 1}    1.61{col 50}{space 3}0.108{col 58}{space 4}-.0045726{col 71}{space 3} .0462278
{txt}{space 9}pubyear {c |}{col 18}{res}{space 2} .0064456{col 30}{space 2} .0026179{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4} .0013043{col 71}{space 3}  .011587
{txt}{space 14}cs {c |}{col 18}{res}{space 2} .0732605{col 30}{space 2} .0348075{col 41}{space 1}    2.10{col 50}{space 3}0.036{col 58}{space 4}  .004902{col 71}{space 3}  .141619
{txt}{space 10}length {c |}{col 18}{res}{space 2} .0002601{col 30}{space 2} .0014532{col 41}{space 1}    0.18{col 50}{space 3}0.858{col 58}{space 4}-.0025938{col 71}{space 3} .0031141
{txt}{space 9}midyear {c |}{col 18}{res}{space 2}-.0047186{col 30}{space 2} .0028915{col 41}{space 1}   -1.63{col 50}{space 3}0.103{col 58}{space 4}-.0103972{col 71}{space 3}   .00096
{txt}{space 13}gdp {c |}{col 18}{res}{space 2} .0661244{col 30}{space 2} .0184299{col 41}{space 1}    3.59{col 50}{space 3}0.000{col 58}{space 4} .0299299{col 71}{space 3} .1023189
{txt}{space 8}marginal {c |}{col 18}{res}{space 2} .0453306{col 30}{space 2} .0250162{col 41}{space 1}    1.81{col 50}{space 3}0.070{col 58}{space 4}-.0037988{col 71}{space 3}   .09446
{txt}{space 5}differenced {c |}{col 18}{res}{space 2}-.0443335{col 30}{space 2} .0256176{col 41}{space 1}   -1.73{col 50}{space 3}0.084{col 58}{space 4} -.094644{col 71}{space 3} .0059769
{txt}{space 13}etr {c |}{col 18}{res}{space 2} .0364516{col 30}{space 2} .0250249{col 41}{space 1}    1.46{col 50}{space 3}0.146{col 58}{space 4}-.0126949{col 71}{space 3}  .085598
{txt}{space 6}investment {c |}{col 18}{res}{space 2} .0066733{col 30}{space 2} .0143768{col 41}{space 1}    0.46{col 50}{space 3}0.643{col 58}{space 4}-.0215613{col 71}{space 3}  .034908
{txt}{space 3}tradeopenness {c |}{col 18}{res}{space 2}-.0040907{col 30}{space 2} .0163533{col 41}{space 1}   -0.25{col 50}{space 3}0.803{col 58}{space 4} -.036207{col 71}{space 3} .0280255
{txt}{space 11}human {c |}{col 18}{res}{space 2}-.0210297{col 30}{space 2} .0138299{col 41}{space 1}   -1.52{col 50}{space 3}0.129{col 58}{space 4}-.0481902{col 71}{space 3} .0061308
{txt}{space 7}popgrowth {c |}{col 18}{res}{space 2}-.0419907{col 30}{space 2} .0175187{col 41}{space 1}   -2.40{col 50}{space 3}0.017{col 58}{space 4}-.0763956{col 71}{space 3}-.0075858
{txt}{space 4}employgrowth {c |}{col 18}{res}{space 2} .0220656{col 30}{space 2} .0178401{col 41}{space 1}    1.24{col 50}{space 3}0.217{col 58}{space 4}-.0129706{col 71}{space 3} .0571018
{txt}unemploymentrate {c |}{col 18}{res}{space 2} .0774464{col 30}{space 2} .0194147{col 41}{space 1}    3.99{col 50}{space 3}0.000{col 58}{space 4} .0393179{col 71}{space 3} .1155749
{txt}{space 7}inflation {c |}{col 18}{res}{space 2}-.0352781{col 30}{space 2} .0171199{col 41}{space 1}   -2.06{col 50}{space 3}0.040{col 58}{space 4}-.0688998{col 71}{space 3}-.0016564
{txt}{space 10}income {c |}{col 18}{res}{space 2} .0571603{col 30}{space 2} .0179417{col 41}{space 1}    3.19{col 50}{space 3}0.002{col 58}{space 4} .0219246{col 71}{space 3} .0923959
{txt}{space 8}laggeddv {c |}{col 18}{res}{space 2} .0064412{col 30}{space 2} .0216167{col 41}{space 1}    0.30{col 50}{space 3}0.766{col 58}{space 4}-.0360118{col 71}{space 3} .0488941
{txt}{space 7}countryfe {c |}{col 18}{res}{space 2}-.0317365{col 30}{space 2} .0159844{col 41}{space 1}   -1.99{col 50}{space 3}0.048{col 58}{space 4}-.0631282{col 71}{space 3}-.0003448
{txt}{space 11}sehac {c |}{col 18}{res}{space 2} .0586019{col 30}{space 2} .0240402{col 41}{space 1}    2.44{col 50}{space 3}0.015{col 58}{space 4} .0113893{col 71}{space 3} .1058144
{txt}{space 11}sehet {c |}{col 18}{res}{space 2} .0245161{col 30}{space 2} .0129482{col 41}{space 1}    1.89{col 50}{space 3}0.059{col 58}{space 4}-.0009129{col 71}{space 3} .0499452
{txt}{space 9}lrcase2 {c |}{col 18}{res}{space 2} .0904042{col 30}{space 2}  .030275{col 41}{space 1}    2.99{col 50}{space 3}0.003{col 58}{space 4} .0309471{col 71}{space 3} .1498614
{txt}{space 9}lrcase3 {c |}{col 18}{res}{space 2}-.0675386{col 30}{space 2} .0147489{col 41}{space 1}   -4.58{col 50}{space 3}0.000{col 58}{space 4}-.0965038{col 71}{space 3}-.0385733
{txt}{space 13}gls {c |}{col 18}{res}{space 2}-.0444032{col 30}{space 2} .0223131{col 41}{space 1}   -1.99{col 50}{space 3}0.047{col 58}{space 4}-.0882238{col 71}{space 3}-.0005825
{txt}{space 11}endog {c |}{col 18}{res}{space 2}-.0043295{col 30}{space 2} .0126907{col 41}{space 1}   -0.34{col 50}{space 3}0.733{col 58}{space 4}-.0292527{col 71}{space 3} .0205937
{txt}{space 12}eu15 {c |}{col 18}{res}{space 2} .1268459{col 30}{space 2} .0285493{col 41}{space 1}    4.44{col 50}{space 3}0.000{col 58}{space 4}  .070778{col 71}{space 3} .1829137
{txt}{space 14}g7 {c |}{col 18}{res}{space 2} .1358728{col 30}{space 2} .0333582{col 41}{space 1}    4.07{col 50}{space 3}0.000{col 58}{space 4} .0703606{col 71}{space 3}  .201385
{txt}{space 11}eumem {c |}{col 18}{res}{space 2} .0154951{col 30}{space 2} .0616331{col 41}{space 1}    0.25{col 50}{space 3}0.802{col 58}{space 4}-.1055461{col 71}{space 3} .1365364
{txt}{space 7}labourtax {c |}{col 18}{res}{space 2}-.0382743{col 30}{space 2} .0190231{col 41}{space 1}   -2.01{col 50}{space 3}0.045{col 58}{space 4}-.0756338{col 71}{space 3}-.0009148
{txt}{space 6}capitaltax {c |}{col 18}{res}{space 2} -.002245{col 30}{space 2} .0192118{col 41}{space 1}   -0.12{col 50}{space 3}0.907{col 58}{space 4} -.039975{col 71}{space 3}  .035485
{txt}{space 6}othertaxes {c |}{col 18}{res}{space 2} .1844773{col 30}{space 2} .2914955{col 41}{space 1}    0.63{col 50}{space 3}0.527{col 58}{space 4}-.3879905{col 71}{space 3} .7569451
{txt}{space 6}mixedtaxes {c |}{col 18}{res}{space 2} -.087798{col 30}{space 2} .0200726{col 41}{space 1}   -4.37{col 50}{space 3}0.000{col 58}{space 4}-.1272186{col 71}{space 3}-.0483775
{txt}{space 6}overalltax {c |}{col 18}{res}{space 2} -.045274{col 30}{space 2} .0216387{col 41}{space 1}   -2.09{col 50}{space 3}0.037{col 58}{space 4}-.0877702{col 71}{space 3}-.0027778
{txt}{space 9}predneg {c |}{col 18}{res}{space 2}-.0708786{col 30}{space 2} .0146457{col 41}{space 1}   -4.84{col 50}{space 3}0.000{col 58}{space 4}-.0996412{col 71}{space 3} -.042116
{txt}{space 9}predpos {c |}{col 18}{res}{space 2} .0289162{col 30}{space 2} .0236641{col 41}{space 1}    1.22{col 50}{space 3}0.222{col 58}{space 4}-.0175577{col 71}{space 3}   .07539
{txt}{space 14}se {c |}{col 18}{res}{space 2}-.7561872{col 30}{space 2} .1194345{col 41}{space 1}   -6.33{col 50}{space 3}0.000{col 58}{space 4}-.9907446{col 71}{space 3}-.5216297
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-.0088096{col 30}{space 2} .1079974{col 41}{space 1}   -0.08{col 50}{space 3}0.935{col 58}{space 4}-.2209057{col 71}{space 3} .2032864
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. scalar tau2 = e(tau2)
{txt}
{com}. 
. *--------------------------------------------------------------------------------*
. *   TABLE 8: Estimates of Tax Effects with Control Variables                     *
. *--------------------------------------------------------------------------------*
. // FIXED EFFECTS
. 
. // Generating transformed variables for FE
. gen feprecision = 1/se
{txt}
{com}. gen fetstat = coefficient/se
{txt}
{com}. gen predneglaborr = predneglabor/se
{txt}
{com}. gen prednegcapitall = prednegcapital/se
{txt}
{com}. gen prednegotherr = prednegother/se
{txt}
{com}. gen predamblaborr = predamblabor/se
{txt}
{com}. gen predambcapitall = predambcapital/se
{txt}
{com}. gen predambotherr = predambother/se
{txt}
{com}. gen predposs = predpos/se
{txt}
{com}. gen peerreviewedd = peerreviewed/se
{txt}
{com}. gen pubyearr = pubyear/se
{txt}
{com}. gen css = cs/se
{txt}
{com}. gen lengthh = length/se
{txt}
{com}. gen midyearr = midyear/se
{txt}
{com}. gen gdpp = gdp/se
{txt}
{com}. gen marginall = marginal/se
{txt}
{com}. gen differencedd = differenced/se
{txt}
{com}. gen etrr = etr/se
{txt}
{com}. gen investmentt = investment/se
{txt}
{com}. gen tradeopennesss = tradeopenness/se
{txt}
{com}. gen humann = human/se
{txt}
{com}. gen popgrowthh = popgrowth/se
{txt}
{com}. gen employgrowthh = employgrowth/se
{txt}
{com}. gen unemploymentt = unemploymentrate/se
{txt}
{com}. gen inflationn = inflation/se
{txt}
{com}. gen incomee = income/se
{txt}
{com}. gen laggeddvv = laggeddv/se
{txt}
{com}. gen countryfee = countryfe/se
{txt}
{com}. gen sehacc = sehac/se
{txt}
{com}. gen sehett = sehet/se
{txt}
{com}. gen lrcase22 = lrcase2/se
{txt}
{com}. gen lrcase33 = lrcase3/se
{txt}
{com}. gen glss = gls/se
{txt}
{com}. gen endogg = endog/se
{txt}
{com}. gen eu155 = eu15/se
{txt}
{com}. gen g77 = g7/se
{txt}
{com}. gen eumemm = eumem/se
{txt}
{com}. 
. // TABLE 8/PANEL A
. // INCLUDING ALL VARIABLES
. 
. //This regression gives equal weight to each estimate
. // TABLE 8 - Panel A/Column 1
. regress fetstat feprecision endogg  ///
> predneglaborr prednegcapitall prednegotherr ///
> predposs peerreviewedd pubyearr css lengthh midyearr gdpp marginall differencedd ///
> etrr investmentt tradeopennesss humann popgrowthh employgrowthh unemploymentt ///
> inflationn incomee laggeddvv countryfee sehacc sehett lrcase22 lrcase33 glss ///
> eu155 g77 eumemm, vce(cluster idstudy)

{txt}Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(31, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4384
                                                {txt}Root MSE          =    {res} 1.8078

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        fetstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}feprecision {c |}{col 17}{res}{space 2}-.0621976{col 29}{space 2} .1398114{col 40}{space 1}   -0.44{col 49}{space 3}0.659{col 57}{space 4}-.3445524{col 70}{space 3} .2201573
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0009048{col 29}{space 2} .0004368{col 40}{space 1}   -2.07{col 49}{space 3}0.045{col 57}{space 4}-.0017869{col 70}{space 3}-.0000227
{txt}{space 2}predneglaborr {c |}{col 17}{res}{space 2}-.0172769{col 29}{space 2} .0212639{col 40}{space 1}   -0.81{col 49}{space 3}0.421{col 57}{space 4}-.0602203{col 70}{space 3} .0256664
{txt}prednegcapitall {c |}{col 17}{res}{space 2} .0036608{col 29}{space 2}  .018366{col 40}{space 1}    0.20{col 49}{space 3}0.843{col 57}{space 4}-.0334301{col 70}{space 3} .0407516
{txt}{space 2}prednegotherr {c |}{col 17}{res}{space 2}-.1021254{col 29}{space 2} .0374778{col 40}{space 1}   -2.72{col 49}{space 3}0.009{col 57}{space 4}-.1778132{col 70}{space 3}-.0264375
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0375579{col 29}{space 2} .0085418{col 40}{space 1}    4.40{col 49}{space 3}0.000{col 57}{space 4} .0203073{col 70}{space 3} .0548085
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0602566{col 29}{space 2} .0225861{col 40}{space 1}    2.67{col 49}{space 3}0.011{col 57}{space 4}  .014643{col 70}{space 3} .1058703
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0003404{col 29}{space 2} .0030427{col 40}{space 1}    0.11{col 49}{space 3}0.911{col 57}{space 4}-.0058045{col 70}{space 3} .0064852
{txt}{space 12}css {c |}{col 17}{res}{space 2} .0055244{col 29}{space 2} .0183724{col 40}{space 1}    0.30{col 49}{space 3}0.765{col 57}{space 4}-.0315794{col 70}{space 3} .0426282
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2}-.0010337{col 29}{space 2} .0020881{col 40}{space 1}   -0.50{col 49}{space 3}0.623{col 57}{space 4}-.0052507{col 70}{space 3} .0031832
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0009261{col 29}{space 2} .0031556{col 40}{space 1}   -0.29{col 49}{space 3}0.771{col 57}{space 4} -.007299{col 70}{space 3} .0054468
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0328368{col 29}{space 2} .0337162{col 40}{space 1}    0.97{col 49}{space 3}0.336{col 57}{space 4}-.0352544{col 70}{space 3} .1009279
{txt}{space 6}marginall {c |}{col 17}{res}{space 2} .0129081{col 29}{space 2} .0076711{col 40}{space 1}    1.68{col 49}{space 3}0.100{col 57}{space 4} -.002584{col 70}{space 3} .0284003
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0048463{col 29}{space 2}  .038895{col 40}{space 1}   -0.12{col 49}{space 3}0.901{col 57}{space 4}-.0833964{col 70}{space 3} .0737038
{txt}{space 11}etrr {c |}{col 17}{res}{space 2} .0467724{col 29}{space 2} .0104579{col 40}{space 1}    4.47{col 49}{space 3}0.000{col 57}{space 4} .0256522{col 70}{space 3} .0678925
{txt}{space 4}investmentt {c |}{col 17}{res}{space 2} .0105278{col 29}{space 2} .0065768{col 40}{space 1}    1.60{col 49}{space 3}0.117{col 57}{space 4}-.0027543{col 70}{space 3} .0238099
{txt}{space 1}tradeopennesss {c |}{col 17}{res}{space 2} .0093273{col 29}{space 2} .0079651{col 40}{space 1}    1.17{col 49}{space 3}0.248{col 57}{space 4}-.0067585{col 70}{space 3} .0254132
{txt}{space 9}humann {c |}{col 17}{res}{space 2}-.0199082{col 29}{space 2} .0206917{col 40}{space 1}   -0.96{col 49}{space 3}0.342{col 57}{space 4} -.061696{col 70}{space 3} .0218796
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0463234{col 29}{space 2} .0201593{col 40}{space 1}   -2.30{col 49}{space 3}0.027{col 57}{space 4}-.0870359{col 70}{space 3}-.0056108
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2}  .030554{col 29}{space 2} .0206257{col 40}{space 1}    1.48{col 49}{space 3}0.146{col 57}{space 4}-.0111004{col 70}{space 3} .0722085
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0624874{col 29}{space 2} .0212062{col 40}{space 1}    2.95{col 49}{space 3}0.005{col 57}{space 4} .0196605{col 70}{space 3} .1053143
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0064931{col 29}{space 2} .0201613{col 40}{space 1}   -0.32{col 49}{space 3}0.749{col 57}{space 4}-.0472097{col 70}{space 3} .0342235
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0248458{col 29}{space 2} .0240925{col 40}{space 1}    1.03{col 49}{space 3}0.308{col 57}{space 4}-.0238099{col 70}{space 3} .0735015
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2}-.0280094{col 29}{space 2} .0639634{col 40}{space 1}   -0.44{col 49}{space 3}0.664{col 57}{space 4}-.1571861{col 70}{space 3} .1011673
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2} -.029681{col 29}{space 2}  .029265{col 40}{space 1}   -1.01{col 49}{space 3}0.316{col 57}{space 4}-.0887829{col 70}{space 3}  .029421
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0609941{col 29}{space 2} .0214626{col 40}{space 1}    2.84{col 49}{space 3}0.007{col 57}{space 4} .0176495{col 70}{space 3} .1043386
{txt}{space 9}sehett {c |}{col 17}{res}{space 2} .0037698{col 29}{space 2}  .013541{col 40}{space 1}    0.28{col 49}{space 3}0.782{col 57}{space 4}-.0235768{col 70}{space 3} .0311165
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0767618{col 29}{space 2} .0518823{col 40}{space 1}    1.48{col 49}{space 3}0.147{col 57}{space 4}-.0280167{col 70}{space 3} .1815403
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0156234{col 29}{space 2} .0162343{col 40}{space 1}   -0.96{col 49}{space 3}0.342{col 57}{space 4}-.0484091{col 70}{space 3} .0171624
{txt}{space 11}glss {c |}{col 17}{res}{space 2} -.036813{col 29}{space 2}  .016081{col 40}{space 1}   -2.29{col 49}{space 3}0.027{col 57}{space 4}-.0692893{col 70}{space 3}-.0043368
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0501192{col 29}{space 2}   .03229{col 40}{space 1}    1.55{col 49}{space 3}0.128{col 57}{space 4}-.0150917{col 70}{space 3} .1153302
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .1657613{col 29}{space 2} .0330368{col 40}{space 1}    5.02{col 49}{space 3}0.000{col 57}{space 4} .0990421{col 70}{space 3} .2324805
{txt}{space 9}eumemm {c |}{col 17}{res}{space 2} .0624798{col 29}{space 2}    .0584{col 40}{space 1}    1.07{col 49}{space 3}0.291{col 57}{space 4}-.0554613{col 70}{space 3}  .180421
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.149411{col 29}{space 2} .2571516{col 40}{space 1}   -4.47{col 49}{space 3}0.000{col 57}{space 4}-1.668739{col 70}{space 3}-.6300828
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predneglaborr = prednegotherr = prednegcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predneglaborr - prednegotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predneglaborr - prednegcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}   17.64
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 8 - Panel A/Column 2
. regress fetstat feprecision endogg  ///
> predneglaborr prednegcapitall prednegotherr ///
> predposs peerreviewedd pubyearr css lengthh midyearr gdpp marginall differencedd ///
> etrr investmentt tradeopennesss humann popgrowthh employgrowthh unemploymentt ///
> inflationn incomee laggeddvv countryfee sehacc sehett lrcase22 lrcase33 glss ///
> eu155 g77 eumemm [pweight = weight], vce(cluster idstudy)
{txt}(sum of wgt is 38.11478993733051)

Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(31, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4419
                                                {txt}Root MSE          =    {res} 1.7229

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        fetstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}feprecision {c |}{col 17}{res}{space 2} .0098517{col 29}{space 2} .1260753{col 40}{space 1}    0.08{col 49}{space 3}0.938{col 57}{space 4}-.2447626{col 70}{space 3}  .264466
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0007189{col 29}{space 2} .0007123{col 40}{space 1}   -1.01{col 49}{space 3}0.319{col 57}{space 4}-.0021575{col 70}{space 3} .0007196
{txt}{space 2}predneglaborr {c |}{col 17}{res}{space 2} .0078159{col 29}{space 2} .0241088{col 40}{space 1}    0.32{col 49}{space 3}0.747{col 57}{space 4}-.0408729{col 70}{space 3} .0565046
{txt}prednegcapitall {c |}{col 17}{res}{space 2} .0174997{col 29}{space 2} .0184864{col 40}{space 1}    0.95{col 49}{space 3}0.349{col 57}{space 4}-.0198344{col 70}{space 3} .0548338
{txt}{space 2}prednegotherr {c |}{col 17}{res}{space 2}-.0767548{col 29}{space 2} .0292573{col 40}{space 1}   -2.62{col 49}{space 3}0.012{col 57}{space 4}-.1358411{col 70}{space 3}-.0176685
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0395444{col 29}{space 2}  .007034{col 40}{space 1}    5.62{col 49}{space 3}0.000{col 57}{space 4} .0253389{col 70}{space 3} .0537498
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0490384{col 29}{space 2} .0196431{col 40}{space 1}    2.50{col 49}{space 3}0.017{col 57}{space 4} .0093683{col 70}{space 3} .0887084
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0020824{col 29}{space 2} .0027257{col 40}{space 1}    0.76{col 49}{space 3}0.449{col 57}{space 4}-.0034223{col 70}{space 3} .0075871
{txt}{space 12}css {c |}{col 17}{res}{space 2} .0125159{col 29}{space 2} .0145937{col 40}{space 1}    0.86{col 49}{space 3}0.396{col 57}{space 4}-.0169567{col 70}{space 3} .0419884
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2}-.0019364{col 29}{space 2} .0018842{col 40}{space 1}   -1.03{col 49}{space 3}0.310{col 57}{space 4}-.0057416{col 70}{space 3} .0018689
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0032977{col 29}{space 2} .0027654{col 40}{space 1}   -1.19{col 49}{space 3}0.240{col 57}{space 4}-.0088826{col 70}{space 3} .0022872
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2}  .005921{col 29}{space 2} .0273877{col 40}{space 1}    0.22{col 49}{space 3}0.830{col 57}{space 4}-.0493895{col 70}{space 3} .0612315
{txt}{space 6}marginall {c |}{col 17}{res}{space 2} .0206106{col 29}{space 2} .0128777{col 40}{space 1}    1.60{col 49}{space 3}0.117{col 57}{space 4}-.0053965{col 70}{space 3} .0466177
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2} .0062711{col 29}{space 2} .0340648{col 40}{space 1}    0.18{col 49}{space 3}0.855{col 57}{space 4}-.0625242{col 70}{space 3} .0750663
{txt}{space 11}etrr {c |}{col 17}{res}{space 2} .0509639{col 29}{space 2} .0147809{col 40}{space 1}    3.45{col 49}{space 3}0.001{col 57}{space 4} .0211133{col 70}{space 3} .0808145
{txt}{space 4}investmentt {c |}{col 17}{res}{space 2} .0083592{col 29}{space 2} .0050564{col 40}{space 1}    1.65{col 49}{space 3}0.106{col 57}{space 4}-.0018523{col 70}{space 3} .0185707
{txt}{space 1}tradeopennesss {c |}{col 17}{res}{space 2} .0063052{col 29}{space 2}  .003329{col 40}{space 1}    1.89{col 49}{space 3}0.065{col 57}{space 4}-.0004178{col 70}{space 3} .0130282
{txt}{space 9}humann {c |}{col 17}{res}{space 2}-.0263445{col 29}{space 2} .0162396{col 40}{space 1}   -1.62{col 49}{space 3}0.112{col 57}{space 4} -.059141{col 70}{space 3}  .006452
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0374798{col 29}{space 2} .0167349{col 40}{space 1}   -2.24{col 49}{space 3}0.031{col 57}{space 4}-.0712766{col 70}{space 3} -.003683
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2} .0389624{col 29}{space 2} .0166542{col 40}{space 1}    2.34{col 49}{space 3}0.024{col 57}{space 4} .0053286{col 70}{space 3} .0725962
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0442641{col 29}{space 2} .0166594{col 40}{space 1}    2.66{col 49}{space 3}0.011{col 57}{space 4} .0106198{col 70}{space 3} .0779084
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0123422{col 29}{space 2} .0157791{col 40}{space 1}   -0.78{col 49}{space 3}0.439{col 57}{space 4}-.0442087{col 70}{space 3} .0195243
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0475904{col 29}{space 2} .0207985{col 40}{space 1}    2.29{col 49}{space 3}0.027{col 57}{space 4}  .005587{col 70}{space 3} .0895938
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2}-.0313173{col 29}{space 2} .0746034{col 40}{space 1}   -0.42{col 49}{space 3}0.677{col 57}{space 4}-.1819818{col 70}{space 3} .1193473
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0044317{col 29}{space 2}  .028624{col 40}{space 1}   -0.15{col 49}{space 3}0.878{col 57}{space 4} -.062239{col 70}{space 3} .0533756
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0484627{col 29}{space 2} .0242997{col 40}{space 1}    1.99{col 49}{space 3}0.053{col 57}{space 4}-.0006115{col 70}{space 3} .0975369
{txt}{space 9}sehett {c |}{col 17}{res}{space 2} .0035127{col 29}{space 2} .0130734{col 40}{space 1}    0.27{col 49}{space 3}0.790{col 57}{space 4}-.0228895{col 70}{space 3} .0299149
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0600984{col 29}{space 2} .0550225{col 40}{space 1}    1.09{col 49}{space 3}0.281{col 57}{space 4}-.0510219{col 70}{space 3} .1712187
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0483601{col 29}{space 2} .0290453{col 40}{space 1}   -1.66{col 49}{space 3}0.104{col 57}{space 4}-.1070183{col 70}{space 3} .0102981
{txt}{space 11}glss {c |}{col 17}{res}{space 2} -.041782{col 29}{space 2} .0133073{col 40}{space 1}   -3.14{col 49}{space 3}0.003{col 57}{space 4}-.0686566{col 70}{space 3}-.0149074
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0619436{col 29}{space 2} .0267319{col 40}{space 1}    2.32{col 49}{space 3}0.026{col 57}{space 4} .0079574{col 70}{space 3} .1159297
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .1676635{col 29}{space 2} .0280025{col 40}{space 1}    5.99{col 49}{space 3}0.000{col 57}{space 4} .1111114{col 70}{space 3} .2242156
{txt}{space 9}eumemm {c |}{col 17}{res}{space 2} .0975078{col 29}{space 2} .0535322{col 40}{space 1}    1.82{col 49}{space 3}0.076{col 57}{space 4}-.0106026{col 70}{space 3} .2056182
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.182928{col 29}{space 2} .2166903{col 40}{space 1}   -5.46{col 49}{space 3}0.000{col 57}{space 4}-1.620543{col 70}{space 3}-.7453129
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predneglaborr = prednegotherr = prednegcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predneglaborr - prednegotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predneglaborr - prednegcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    4.94
{txt}{col 13}Prob > F ={res}    0.0119
{txt}
{com}. 
. // TABLE 8/PANEL B
. // INCLUDING ALL VARIABLES
. 
. //This regression gives equal weight to each estimate
. // TABLE 8 - Panel B/Column 1
. regress fetstat feprecision endogg  ///
> predamblaborr predambcapitall predambotherr ///
> predposs peerreviewedd pubyearr css lengthh midyearr gdpp marginall differencedd ///
> etrr investmentt tradeopennesss humann popgrowthh employgrowthh unemploymentt ///
> inflationn incomee laggeddvv countryfee sehacc sehett lrcase22 lrcase33 glss ///
> eu155 g77 eumemm, vce(cluster idstudy)

{txt}Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(31, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4234
                                                {txt}Root MSE          =    {res} 1.8319

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        fetstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}feprecision {c |}{col 17}{res}{space 2}-.0268109{col 29}{space 2} .1494794{col 40}{space 1}   -0.18{col 49}{space 3}0.859{col 57}{space 4}-.3286907{col 70}{space 3}  .275069
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0002069{col 29}{space 2} .0005556{col 40}{space 1}   -0.37{col 49}{space 3}0.712{col 57}{space 4}-.0013291{col 70}{space 3} .0009152
{txt}{space 2}predamblaborr {c |}{col 17}{res}{space 2} .0433494{col 29}{space 2} .0190699{col 40}{space 1}    2.27{col 49}{space 3}0.028{col 57}{space 4} .0048369{col 70}{space 3}  .081862
{txt}predambcapitall {c |}{col 17}{res}{space 2} .0660798{col 29}{space 2} .0180645{col 40}{space 1}    3.66{col 49}{space 3}0.001{col 57}{space 4} .0295978{col 70}{space 3} .1025618
{txt}{space 2}predambotherr {c |}{col 17}{res}{space 2} .0439767{col 29}{space 2} .0175946{col 40}{space 1}    2.50{col 49}{space 3}0.017{col 57}{space 4} .0084437{col 70}{space 3} .0795097
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0832054{col 29}{space 2} .0184524{col 40}{space 1}    4.51{col 49}{space 3}0.000{col 57}{space 4} .0459401{col 70}{space 3} .1204708
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0588251{col 29}{space 2} .0243226{col 40}{space 1}    2.42{col 49}{space 3}0.020{col 57}{space 4} .0097047{col 70}{space 3} .1079456
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2}  .005066{col 29}{space 2} .0032311{col 40}{space 1}    1.57{col 49}{space 3}0.125{col 57}{space 4}-.0014593{col 70}{space 3} .0115914
{txt}{space 12}css {c |}{col 17}{res}{space 2} .0191857{col 29}{space 2}  .020606{col 40}{space 1}    0.93{col 49}{space 3}0.357{col 57}{space 4}-.0224289{col 70}{space 3} .0608002
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2}-.0017652{col 29}{space 2} .0020851{col 40}{space 1}   -0.85{col 49}{space 3}0.402{col 57}{space 4}-.0059762{col 70}{space 3} .0024458
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0035637{col 29}{space 2}  .003363{col 40}{space 1}   -1.06{col 49}{space 3}0.295{col 57}{space 4}-.0103553{col 70}{space 3}  .003228
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0220307{col 29}{space 2} .0322925{col 40}{space 1}    0.68{col 49}{space 3}0.499{col 57}{space 4}-.0431853{col 70}{space 3} .0872467
{txt}{space 6}marginall {c |}{col 17}{res}{space 2} .0090956{col 29}{space 2} .0065291{col 40}{space 1}    1.39{col 49}{space 3}0.171{col 57}{space 4}-.0040901{col 70}{space 3} .0222813
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0249266{col 29}{space 2}  .035718{col 40}{space 1}   -0.70{col 49}{space 3}0.489{col 57}{space 4}-.0970606{col 70}{space 3} .0472075
{txt}{space 11}etrr {c |}{col 17}{res}{space 2} .0270552{col 29}{space 2} .0150592{col 40}{space 1}    1.80{col 49}{space 3}0.080{col 57}{space 4}-.0033574{col 70}{space 3} .0574679
{txt}{space 4}investmentt {c |}{col 17}{res}{space 2} .0020587{col 29}{space 2} .0041173{col 40}{space 1}    0.50{col 49}{space 3}0.620{col 57}{space 4}-.0062563{col 70}{space 3} .0103737
{txt}{space 1}tradeopennesss {c |}{col 17}{res}{space 2} .0026128{col 29}{space 2} .0080273{col 40}{space 1}    0.33{col 49}{space 3}0.746{col 57}{space 4}-.0135987{col 70}{space 3} .0188244
{txt}{space 9}humann {c |}{col 17}{res}{space 2} .0080361{col 29}{space 2} .0189549{col 40}{space 1}    0.42{col 49}{space 3}0.674{col 57}{space 4}-.0302441{col 70}{space 3} .0463162
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0511617{col 29}{space 2} .0233236{col 40}{space 1}   -2.19{col 49}{space 3}0.034{col 57}{space 4}-.0982647{col 70}{space 3}-.0040587
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2} .0379933{col 29}{space 2} .0224329{col 40}{space 1}    1.69{col 49}{space 3}0.098{col 57}{space 4}-.0073108{col 70}{space 3} .0832975
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0677862{col 29}{space 2} .0222057{col 40}{space 1}    3.05{col 49}{space 3}0.004{col 57}{space 4} .0229408{col 70}{space 3} .1126316
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0063079{col 29}{space 2} .0203376{col 40}{space 1}   -0.31{col 49}{space 3}0.758{col 57}{space 4}-.0473805{col 70}{space 3} .0347647
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0149126{col 29}{space 2} .0160224{col 40}{space 1}    0.93{col 49}{space 3}0.357{col 57}{space 4}-.0174453{col 70}{space 3} .0472704
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2} -.035062{col 29}{space 2}  .070257{col 40}{space 1}   -0.50{col 49}{space 3}0.620{col 57}{space 4}-.1769489{col 70}{space 3}  .106825
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0595005{col 29}{space 2} .0331698{col 40}{space 1}   -1.79{col 49}{space 3}0.080{col 57}{space 4}-.1264882{col 70}{space 3} .0074873
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0545947{col 29}{space 2} .0249943{col 40}{space 1}    2.18{col 49}{space 3}0.035{col 57}{space 4} .0041177{col 70}{space 3} .1050716
{txt}{space 9}sehett {c |}{col 17}{res}{space 2}  .000192{col 29}{space 2}   .01469{col 40}{space 1}    0.01{col 49}{space 3}0.990{col 57}{space 4} -.029475{col 70}{space 3}  .029859
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0914395{col 29}{space 2} .0578449{col 40}{space 1}    1.58{col 49}{space 3}0.122{col 57}{space 4}-.0253807{col 70}{space 3} .2082596
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0125418{col 29}{space 2} .0138296{col 40}{space 1}   -0.91{col 49}{space 3}0.370{col 57}{space 4}-.0404712{col 70}{space 3} .0153877
{txt}{space 11}glss {c |}{col 17}{res}{space 2}-.0430755{col 29}{space 2} .0197888{col 40}{space 1}   -2.18{col 49}{space 3}0.035{col 57}{space 4}-.0830398{col 70}{space 3}-.0031112
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0480113{col 29}{space 2} .0296716{col 40}{space 1}    1.62{col 49}{space 3}0.113{col 57}{space 4}-.0119117{col 70}{space 3} .1079344
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .1854355{col 29}{space 2} .0291995{col 40}{space 1}    6.35{col 49}{space 3}0.000{col 57}{space 4} .1264659{col 70}{space 3}  .244405
{txt}{space 9}eumemm {c |}{col 17}{res}{space 2} .0807191{col 29}{space 2} .0603828{col 40}{space 1}    1.34{col 49}{space 3}0.189{col 57}{space 4}-.0412265{col 70}{space 3} .2026646
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -.949465{col 29}{space 2} .2451082{col 40}{space 1}   -3.87{col 49}{space 3}0.000{col 57}{space 4}-1.444471{col 70}{space 3}-.4544589
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predamblaborr = predambotherr = predambcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predamblaborr - predambotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predamblaborr - predambcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    5.80
{txt}{col 13}Prob > F ={res}    0.0060
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 8 - Panel B/Column 2
. regress fetstat feprecision endogg  ///
> predamblaborr predambcapitall predambotherr ///
> predposs peerreviewedd pubyearr css lengthh midyearr gdpp marginall differencedd ///
> etrr investmentt tradeopennesss humann popgrowthh employgrowthh unemploymentt ///
> inflationn incomee laggeddvv countryfee sehacc sehett lrcase22 lrcase33 glss ///
> eu155 g77 eumemm [pweight = weight], vce(cluster idstudy)
{txt}(sum of wgt is 38.11478993733051)

Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(31, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4379
                                                {txt}Root MSE          =    {res} 1.7291

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        fetstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}feprecision {c |}{col 17}{res}{space 2} .0468518{col 29}{space 2} .1341304{col 40}{space 1}    0.35{col 49}{space 3}0.729{col 57}{space 4}-.2240301{col 70}{space 3} .3177337
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0000314{col 29}{space 2} .0008102{col 40}{space 1}   -0.04{col 49}{space 3}0.969{col 57}{space 4}-.0016676{col 70}{space 3} .0016048
{txt}{space 2}predamblaborr {c |}{col 17}{res}{space 2}  .031362{col 29}{space 2}   .02011{col 40}{space 1}    1.56{col 49}{space 3}0.127{col 57}{space 4}-.0092511{col 70}{space 3}  .071975
{txt}predambcapitall {c |}{col 17}{res}{space 2} .0599386{col 29}{space 2} .0164501{col 40}{space 1}    3.64{col 49}{space 3}0.001{col 57}{space 4} .0267169{col 70}{space 3} .0931602
{txt}{space 2}predambotherr {c |}{col 17}{res}{space 2} .0372857{col 29}{space 2} .0158753{col 40}{space 1}    2.35{col 49}{space 3}0.024{col 57}{space 4} .0052249{col 70}{space 3} .0693466
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0776922{col 29}{space 2} .0169983{col 40}{space 1}    4.57{col 49}{space 3}0.000{col 57}{space 4} .0433633{col 70}{space 3}  .112021
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0470468{col 29}{space 2} .0211095{col 40}{space 1}    2.23{col 49}{space 3}0.031{col 57}{space 4} .0044153{col 70}{space 3} .0896782
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0048166{col 29}{space 2} .0029619{col 40}{space 1}    1.63{col 49}{space 3}0.112{col 57}{space 4}-.0011651{col 70}{space 3} .0107983
{txt}{space 12}css {c |}{col 17}{res}{space 2} .0121647{col 29}{space 2} .0185372{col 40}{space 1}    0.66{col 49}{space 3}0.515{col 57}{space 4}-.0252718{col 70}{space 3} .0496013
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2} -.002244{col 29}{space 2} .0020676{col 40}{space 1}   -1.09{col 49}{space 3}0.284{col 57}{space 4}-.0064196{col 70}{space 3} .0019315
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0043186{col 29}{space 2} .0031221{col 40}{space 1}   -1.38{col 49}{space 3}0.174{col 57}{space 4}-.0106239{col 70}{space 3} .0019866
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2}-.0003264{col 29}{space 2}  .028371{col 40}{space 1}   -0.01{col 49}{space 3}0.991{col 57}{space 4}-.0576228{col 70}{space 3} .0569699
{txt}{space 6}marginall {c |}{col 17}{res}{space 2} .0139687{col 29}{space 2} .0124819{col 40}{space 1}    1.12{col 49}{space 3}0.270{col 57}{space 4} -.011239{col 70}{space 3} .0391764
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}  -.03237{col 29}{space 2} .0301464{col 40}{space 1}   -1.07{col 49}{space 3}0.289{col 57}{space 4}-.0932518{col 70}{space 3} .0285119
{txt}{space 11}etrr {c |}{col 17}{res}{space 2} .0060752{col 29}{space 2} .0248982{col 40}{space 1}    0.24{col 49}{space 3}0.808{col 57}{space 4}-.0442079{col 70}{space 3} .0563582
{txt}{space 4}investmentt {c |}{col 17}{res}{space 2} .0030209{col 29}{space 2} .0035501{col 40}{space 1}    0.85{col 49}{space 3}0.400{col 57}{space 4}-.0041487{col 70}{space 3} .0101905
{txt}{space 1}tradeopennesss {c |}{col 17}{res}{space 2}  .004011{col 29}{space 2} .0024221{col 40}{space 1}    1.66{col 49}{space 3}0.105{col 57}{space 4}-.0008805{col 70}{space 3} .0089026
{txt}{space 9}humann {c |}{col 17}{res}{space 2}-.0120291{col 29}{space 2} .0168409{col 40}{space 1}   -0.71{col 49}{space 3}0.479{col 57}{space 4}  -.04604{col 70}{space 3} .0219819
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0414739{col 29}{space 2} .0188662{col 40}{space 1}   -2.20{col 49}{space 3}0.034{col 57}{space 4} -.079575{col 70}{space 3}-.0033729
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2} .0411071{col 29}{space 2} .0179703{col 40}{space 1}    2.29{col 49}{space 3}0.027{col 57}{space 4} .0048153{col 70}{space 3}  .077399
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0433958{col 29}{space 2} .0177686{col 40}{space 1}    2.44{col 49}{space 3}0.019{col 57}{space 4} .0075115{col 70}{space 3} .0792802
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0099224{col 29}{space 2} .0163109{col 40}{space 1}   -0.61{col 49}{space 3}0.546{col 57}{space 4} -.042863{col 70}{space 3} .0230181
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0349941{col 29}{space 2} .0181462{col 40}{space 1}    1.93{col 49}{space 3}0.061{col 57}{space 4}-.0016529{col 70}{space 3} .0716411
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2}-.0418364{col 29}{space 2} .0804438{col 40}{space 1}   -0.52{col 49}{space 3}0.606{col 57}{space 4} -.204296{col 70}{space 3} .1206231
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0342429{col 29}{space 2} .0328439{col 40}{space 1}   -1.04{col 49}{space 3}0.303{col 57}{space 4}-.1005725{col 70}{space 3} .0320866
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0381401{col 29}{space 2} .0264529{col 40}{space 1}    1.44{col 49}{space 3}0.157{col 57}{space 4}-.0152825{col 70}{space 3} .0915627
{txt}{space 9}sehett {c |}{col 17}{res}{space 2}-.0003337{col 29}{space 2}  .013515{col 40}{space 1}   -0.02{col 49}{space 3}0.980{col 57}{space 4}-.0276278{col 70}{space 3} .0269603
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0723365{col 29}{space 2} .0588177{col 40}{space 1}    1.23{col 49}{space 3}0.226{col 57}{space 4}-.0464482{col 70}{space 3} .1911212
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0430027{col 29}{space 2} .0263159{col 40}{space 1}   -1.63{col 49}{space 3}0.110{col 57}{space 4}-.0961488{col 70}{space 3} .0101434
{txt}{space 11}glss {c |}{col 17}{res}{space 2}-.0366468{col 29}{space 2}  .016593{col 40}{space 1}   -2.21{col 49}{space 3}0.033{col 57}{space 4} -.070157{col 70}{space 3}-.0031366
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0572319{col 29}{space 2} .0259971{col 40}{space 1}    2.20{col 49}{space 3}0.033{col 57}{space 4} .0047298{col 70}{space 3}  .109734
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .1727973{col 29}{space 2} .0285782{col 40}{space 1}    6.05{col 49}{space 3}0.000{col 57}{space 4} .1150825{col 70}{space 3} .2305121
{txt}{space 9}eumemm {c |}{col 17}{res}{space 2} .1217684{col 29}{space 2}  .058064{col 40}{space 1}    2.10{col 49}{space 3}0.042{col 57}{space 4} .0045057{col 70}{space 3} .2390311
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.9843771{col 29}{space 2} .2212889{col 40}{space 1}   -4.45{col 49}{space 3}0.000{col 57}{space 4}-1.431279{col 70}{space 3}-.5374752
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predamblaborr = predambotherr = predambcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predamblaborr - predambotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predamblaborr - predambcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    6.20
{txt}{col 13}Prob > F ={res}    0.0044
{txt}
{com}. 
. // TABLE 8/PANEL C
. // USING BACKWARDS STEPWISE REGRESSION
. 
. //This regression gives equal weight to each estimate
. // TABLE 8 - Panel C/Column 1
. // This estimates the "final best equation"
. regress fetstat feprecision endogg  ///
> predneglaborr prednegcapitall prednegotherr ///
> predposs peerreviewedd gdpp popgrowthh employgrowthh unemploymentt laggeddvv ///
> countryfee sehacc lrcase22 glss eu155 g77, vce(cluster idstudy)

{txt}Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(17, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4038
                                                {txt}Root MSE          =    {res} 1.8402

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        fetstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}feprecision {c |}{col 17}{res}{space 2}-.0551658{col 29}{space 2} .0257506{col 40}{space 1}   -2.14{col 49}{space 3}0.038{col 57}{space 4}-.1071702{col 70}{space 3}-.0031614
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0003188{col 29}{space 2} .0007992{col 40}{space 1}   -0.40{col 49}{space 3}0.692{col 57}{space 4}-.0019328{col 70}{space 3} .0012952
{txt}{space 2}predneglaborr {c |}{col 17}{res}{space 2}-.0475658{col 29}{space 2} .0119851{col 40}{space 1}   -3.97{col 49}{space 3}0.000{col 57}{space 4}-.0717702{col 70}{space 3}-.0233613
{txt}prednegcapitall {c |}{col 17}{res}{space 2}-.0247936{col 29}{space 2} .0117188{col 40}{space 1}   -2.12{col 49}{space 3}0.040{col 57}{space 4}-.0484603{col 70}{space 3}-.0011269
{txt}{space 2}prednegotherr {c |}{col 17}{res}{space 2}-.0862145{col 29}{space 2} .0352605{col 40}{space 1}   -2.45{col 49}{space 3}0.019{col 57}{space 4}-.1574246{col 70}{space 3}-.0150045
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0386525{col 29}{space 2} .0084589{col 40}{space 1}    4.57{col 49}{space 3}0.000{col 57}{space 4} .0215695{col 70}{space 3} .0557355
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0694408{col 29}{space 2} .0217103{col 40}{space 1}    3.20{col 49}{space 3}0.003{col 57}{space 4}  .025596{col 70}{space 3} .1132856
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0214447{col 29}{space 2} .0134393{col 40}{space 1}    1.60{col 49}{space 3}0.118{col 57}{space 4}-.0056966{col 70}{space 3}  .048586
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0461246{col 29}{space 2} .0180268{col 40}{space 1}   -2.56{col 49}{space 3}0.014{col 57}{space 4}-.0825305{col 70}{space 3}-.0097187
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2} .0313633{col 29}{space 2} .0103437{col 40}{space 1}    3.03{col 49}{space 3}0.004{col 57}{space 4} .0104737{col 70}{space 3} .0522528
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0624913{col 29}{space 2} .0188693{col 40}{space 1}    3.31{col 49}{space 3}0.002{col 57}{space 4}  .024384{col 70}{space 3} .1005986
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2}-.0523983{col 29}{space 2} .0575982{col 40}{space 1}   -0.91{col 49}{space 3}0.368{col 57}{space 4}-.1687202{col 70}{space 3} .0639237
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0527207{col 29}{space 2} .0109928{col 40}{space 1}   -4.80{col 49}{space 3}0.000{col 57}{space 4}-.0749211{col 70}{space 3}-.0305204
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0618179{col 29}{space 2} .0174497{col 40}{space 1}    3.54{col 49}{space 3}0.001{col 57}{space 4} .0265775{col 70}{space 3} .0970583
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0815149{col 29}{space 2} .0454106{col 40}{space 1}    1.80{col 49}{space 3}0.080{col 57}{space 4}-.0101938{col 70}{space 3} .1732236
{txt}{space 11}glss {c |}{col 17}{res}{space 2}-.0406766{col 29}{space 2} .0212879{col 40}{space 1}   -1.91{col 49}{space 3}0.063{col 57}{space 4}-.0836684{col 70}{space 3} .0023151
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0356722{col 29}{space 2} .0119764{col 40}{space 1}    2.98{col 49}{space 3}0.005{col 57}{space 4} .0114853{col 70}{space 3} .0598591
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .1583238{col 29}{space 2} .0345932{col 40}{space 1}    4.58{col 49}{space 3}0.000{col 57}{space 4} .0884615{col 70}{space 3} .2281861
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.012818{col 29}{space 2}  .241585{col 40}{space 1}   -4.19{col 49}{space 3}0.000{col 57}{space 4}-1.500709{col 70}{space 3}-.5249268
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predneglaborr = prednegotherr = prednegcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predneglaborr - prednegotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predneglaborr - prednegcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}  255.81
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 8 - Panel C/Column 2
. // This estimates the "final best equation"
. regress fetstat feprecision endogg  ///
> predneglaborr prednegcapitall prednegotherr ///
> predposs peerreviewedd pubyearr lengthh midyearr differencedd popgrowthh ///
> employgrowthh unemploymentt incomee countryfee sehacc lrcase33 glss eu155 g77 ///
> [pweight = weight], vce(cluster idstudy)
{txt}(sum of wgt is 38.11478993733051)

Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(20, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4068
                                                {txt}Root MSE          =    {res}  1.759

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        fetstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}feprecision {c |}{col 17}{res}{space 2} .1080398{col 29}{space 2} .1114046{col 40}{space 1}    0.97{col 49}{space 3}0.338{col 57}{space 4}-.1169463{col 70}{space 3} .3330259
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0005755{col 29}{space 2} .0008709{col 40}{space 1}   -0.66{col 49}{space 3}0.512{col 57}{space 4}-.0023344{col 70}{space 3} .0011833
{txt}{space 2}predneglaborr {c |}{col 17}{res}{space 2}-.0410379{col 29}{space 2} .0125815{col 40}{space 1}   -3.26{col 49}{space 3}0.002{col 57}{space 4}-.0664468{col 70}{space 3}-.0156289
{txt}prednegcapitall {c |}{col 17}{res}{space 2} -.026169{col 29}{space 2}  .009574{col 40}{space 1}   -2.73{col 49}{space 3}0.009{col 57}{space 4}-.0455041{col 70}{space 3}-.0068339
{txt}{space 2}prednegotherr {c |}{col 17}{res}{space 2}-.0679638{col 29}{space 2} .0293107{col 40}{space 1}   -2.32{col 49}{space 3}0.025{col 57}{space 4}-.1271579{col 70}{space 3}-.0087697
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0418772{col 29}{space 2} .0068732{col 40}{space 1}    6.09{col 49}{space 3}0.000{col 57}{space 4} .0279965{col 70}{space 3} .0557578
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0437394{col 29}{space 2}  .022106{col 40}{space 1}    1.98{col 49}{space 3}0.055{col 57}{space 4}-.0009046{col 70}{space 3} .0883833
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0051094{col 29}{space 2} .0032042{col 40}{space 1}    1.59{col 49}{space 3}0.118{col 57}{space 4}-.0013616{col 70}{space 3} .0115804
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2}-.0030803{col 29}{space 2} .0014269{col 40}{space 1}   -2.16{col 49}{space 3}0.037{col 57}{space 4}-.0059621{col 70}{space 3}-.0001985
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0039492{col 29}{space 2} .0026574{col 40}{space 1}   -1.49{col 49}{space 3}0.145{col 57}{space 4}-.0093158{col 70}{space 3} .0014175
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0373771{col 29}{space 2}  .024855{col 40}{space 1}   -1.50{col 49}{space 3}0.140{col 57}{space 4}-.0875728{col 70}{space 3} .0128185
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0456836{col 29}{space 2} .0187274{col 40}{space 1}   -2.44{col 49}{space 3}0.019{col 57}{space 4}-.0835043{col 70}{space 3}-.0078629
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2}   .03753{col 29}{space 2} .0129289{col 40}{space 1}    2.90{col 49}{space 3}0.006{col 57}{space 4} .0114196{col 70}{space 3} .0636404
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0485676{col 29}{space 2} .0171756{col 40}{space 1}    2.83{col 49}{space 3}0.007{col 57}{space 4} .0138809{col 70}{space 3} .0832544
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0342305{col 29}{space 2} .0174189{col 40}{space 1}    1.97{col 49}{space 3}0.056{col 57}{space 4}-.0009477{col 70}{space 3} .0694087
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0362216{col 29}{space 2} .0244575{col 40}{space 1}   -1.48{col 49}{space 3}0.146{col 57}{space 4}-.0856146{col 70}{space 3} .0131714
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0475006{col 29}{space 2} .0236348{col 40}{space 1}    2.01{col 49}{space 3}0.051{col 57}{space 4}-.0002308{col 70}{space 3}  .095232
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0400048{col 29}{space 2} .0270888{col 40}{space 1}   -1.48{col 49}{space 3}0.147{col 57}{space 4}-.0947117{col 70}{space 3} .0147021
{txt}{space 11}glss {c |}{col 17}{res}{space 2}-.0350154{col 29}{space 2} .0164641{col 40}{space 1}   -2.13{col 49}{space 3}0.040{col 57}{space 4}-.0682653{col 70}{space 3}-.0017655
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0399919{col 29}{space 2} .0200619{col 40}{space 1}    1.99{col 49}{space 3}0.053{col 57}{space 4} -.000524{col 70}{space 3} .0805078
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .1730301{col 29}{space 2} .0313323{col 40}{space 1}    5.52{col 49}{space 3}0.000{col 57}{space 4} .1097532{col 70}{space 3}  .236307
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.088333{col 29}{space 2} .2273146{col 40}{space 1}   -4.79{col 49}{space 3}0.000{col 57}{space 4}-1.547404{col 70}{space 3} -.629262
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predneglaborr = prednegotherr = prednegcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predneglaborr - prednegotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predneglaborr - prednegcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    1.54
{txt}{col 13}Prob > F ={res}    0.2267
{txt}
{com}. 
. // TABLE 8/PANEL D
. // USING BACKWARDS STEPWISE REGRESSION
. 
. //This regression gives equal weight to each estimate
. // TABLE 8 - Panel D/Column 1
. // This estimates the "final best equation"
. regress fetstat feprecision endogg  ///
> predamblaborr predambcapitall predambotherr ///
> predposs peerreviewedd gdpp popgrowthh employgrowthh unemploymentt laggeddvv ///
> countryfee sehacc lrcase22 glss eu155 g77, vce(cluster idstudy)

{txt}Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(17, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4016
                                                {txt}Root MSE          =    {res} 1.8435

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        fetstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}feprecision {c |}{col 17}{res}{space 2}-.1005357{col 29}{space 2} .0206728{col 40}{space 1}   -4.86{col 49}{space 3}0.000{col 57}{space 4}-.1422853{col 70}{space 3}-.0587862
{txt}{space 9}endogg {c |}{col 17}{res}{space 2} .0005679{col 29}{space 2} .0007452{col 40}{space 1}    0.76{col 49}{space 3}0.450{col 57}{space 4} -.000937{col 70}{space 3} .0020728
{txt}{space 2}predamblaborr {c |}{col 17}{res}{space 2} .0352564{col 29}{space 2} .0148369{col 40}{space 1}    2.38{col 49}{space 3}0.022{col 57}{space 4} .0052927{col 70}{space 3} .0652201
{txt}predambcapitall {c |}{col 17}{res}{space 2} .0606408{col 29}{space 2} .0119616{col 40}{space 1}    5.07{col 49}{space 3}0.000{col 57}{space 4} .0364838{col 70}{space 3} .0847978
{txt}{space 2}predambotherr {c |}{col 17}{res}{space 2}  .037964{col 29}{space 2} .0141375{col 40}{space 1}    2.69{col 49}{space 3}0.010{col 57}{space 4} .0094127{col 70}{space 3} .0665153
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0775321{col 29}{space 2} .0169955{col 40}{space 1}    4.56{col 49}{space 3}0.000{col 57}{space 4} .0432089{col 70}{space 3} .1118553
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0722588{col 29}{space 2} .0187141{col 40}{space 1}    3.86{col 49}{space 3}0.000{col 57}{space 4} .0344649{col 70}{space 3} .1100528
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0182873{col 29}{space 2} .0151364{col 40}{space 1}    1.21{col 49}{space 3}0.234{col 57}{space 4}-.0122812{col 70}{space 3} .0488557
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0422419{col 29}{space 2} .0177173{col 40}{space 1}   -2.38{col 49}{space 3}0.022{col 57}{space 4}-.0780227{col 70}{space 3}-.0064611
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2} .0400662{col 29}{space 2} .0108155{col 40}{space 1}    3.70{col 49}{space 3}0.001{col 57}{space 4} .0182239{col 70}{space 3} .0619085
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0492228{col 29}{space 2} .0176003{col 40}{space 1}    2.80{col 49}{space 3}0.008{col 57}{space 4} .0136784{col 70}{space 3} .0847673
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2}-.0632516{col 29}{space 2} .0679022{col 40}{space 1}   -0.93{col 49}{space 3}0.357{col 57}{space 4}-.2003828{col 70}{space 3} .0738797
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0579105{col 29}{space 2}  .011628{col 40}{space 1}   -4.98{col 49}{space 3}0.000{col 57}{space 4}-.0813938{col 70}{space 3}-.0344272
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0624279{col 29}{space 2} .0156663{col 40}{space 1}    3.98{col 49}{space 3}0.000{col 57}{space 4}  .030789{col 70}{space 3} .0940667
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2}  .094201{col 29}{space 2} .0542445{col 40}{space 1}    1.74{col 49}{space 3}0.090{col 57}{space 4}-.0153479{col 70}{space 3}   .20375
{txt}{space 11}glss {c |}{col 17}{res}{space 2}-.0400854{col 29}{space 2} .0206701{col 40}{space 1}   -1.94{col 49}{space 3}0.059{col 57}{space 4}-.0818295{col 70}{space 3} .0016586
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0432218{col 29}{space 2} .0131348{col 40}{space 1}    3.29{col 49}{space 3}0.002{col 57}{space 4} .0166956{col 70}{space 3}  .069748
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .1605468{col 29}{space 2}  .030315{col 40}{space 1}    5.30{col 49}{space 3}0.000{col 57}{space 4} .0993244{col 70}{space 3} .2217691
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.9502003{col 29}{space 2} .2469284{col 40}{space 1}   -3.85{col 49}{space 3}0.000{col 57}{space 4}-1.448882{col 70}{space 3}-.4515183
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predamblaborr = predambotherr = predambcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predamblaborr - predambotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predamblaborr - predambcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    7.95
{txt}{col 13}Prob > F ={res}    0.0012
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 8 - Panel D/Column 2
. // This estimates the "final best equation"
. regress fetstat feprecision endogg  ///
> predamblaborr predambcapitall predambotherr ///
> predposs peerreviewedd pubyearr lengthh midyearr differencedd popgrowthh ///
> employgrowthh unemploymentt incomee countryfee sehacc lrcase33 glss eu155 g77 ///
> [pweight = weight], vce(cluster idstudy)
{txt}(sum of wgt is 38.11478993733051)

Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(20, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4208
                                                {txt}Root MSE          =    {res} 1.7381

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        fetstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}feprecision {c |}{col 17}{res}{space 2} .0585933{col 29}{space 2} .1043975{col 40}{space 1}    0.56{col 49}{space 3}0.578{col 57}{space 4}-.1522418{col 70}{space 3} .2694283
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0001808{col 29}{space 2}  .000948{col 40}{space 1}   -0.19{col 49}{space 3}0.850{col 57}{space 4}-.0020954{col 70}{space 3} .0017337
{txt}{space 2}predamblaborr {c |}{col 17}{res}{space 2} .0338618{col 29}{space 2} .0165604{col 40}{space 1}    2.04{col 49}{space 3}0.047{col 57}{space 4} .0004174{col 70}{space 3} .0673062
{txt}predambcapitall {c |}{col 17}{res}{space 2}  .063494{col 29}{space 2} .0115696{col 40}{space 1}    5.49{col 49}{space 3}0.000{col 57}{space 4} .0401287{col 70}{space 3} .0868593
{txt}{space 2}predambotherr {c |}{col 17}{res}{space 2} .0408116{col 29}{space 2} .0099549{col 40}{space 1}    4.10{col 49}{space 3}0.000{col 57}{space 4} .0207072{col 70}{space 3}  .060916
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0825495{col 29}{space 2} .0109186{col 40}{space 1}    7.56{col 49}{space 3}0.000{col 57}{space 4} .0604989{col 70}{space 3} .1046002
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0447376{col 29}{space 2} .0216679{col 40}{space 1}    2.06{col 49}{space 3}0.045{col 57}{space 4} .0009784{col 70}{space 3} .0884968
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0060281{col 29}{space 2} .0032209{col 40}{space 1}    1.87{col 49}{space 3}0.068{col 57}{space 4}-.0004766{col 70}{space 3} .0125329
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2} -.003016{col 29}{space 2} .0013248{col 40}{space 1}   -2.28{col 49}{space 3}0.028{col 57}{space 4}-.0056915{col 70}{space 3}-.0003405
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0039058{col 29}{space 2} .0027095{col 40}{space 1}   -1.44{col 49}{space 3}0.157{col 57}{space 4}-.0093777{col 70}{space 3}  .001566
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0511754{col 29}{space 2}  .023974{col 40}{space 1}   -2.13{col 49}{space 3}0.039{col 57}{space 4} -.099592{col 70}{space 3}-.0027589
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0446487{col 29}{space 2} .0188665{col 40}{space 1}   -2.37{col 49}{space 3}0.023{col 57}{space 4}-.0827505{col 70}{space 3}-.0065469
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2} .0392828{col 29}{space 2} .0139742{col 40}{space 1}    2.81{col 49}{space 3}0.008{col 57}{space 4} .0110612{col 70}{space 3} .0675043
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0448283{col 29}{space 2} .0166972{col 40}{space 1}    2.68{col 49}{space 3}0.010{col 57}{space 4} .0111076{col 70}{space 3}  .078549
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0315171{col 29}{space 2} .0173588{col 40}{space 1}    1.82{col 49}{space 3}0.077{col 57}{space 4}-.0035397{col 70}{space 3} .0665739
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0496624{col 29}{space 2} .0269839{col 40}{space 1}   -1.84{col 49}{space 3}0.073{col 57}{space 4}-.1041574{col 70}{space 3} .0048327
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0446376{col 29}{space 2} .0235402{col 40}{space 1}    1.90{col 49}{space 3}0.065{col 57}{space 4}-.0029028{col 70}{space 3}  .092178
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0426183{col 29}{space 2} .0263345{col 40}{space 1}   -1.62{col 49}{space 3}0.113{col 57}{space 4} -.095802{col 70}{space 3} .0105654
{txt}{space 11}glss {c |}{col 17}{res}{space 2}-.0338978{col 29}{space 2} .0176384{col 40}{space 1}   -1.92{col 49}{space 3}0.062{col 57}{space 4}-.0695193{col 70}{space 3} .0017238
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0429862{col 29}{space 2} .0212158{col 40}{space 1}    2.03{col 49}{space 3}0.049{col 57}{space 4} .0001401{col 70}{space 3} .0858324
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .1752103{col 29}{space 2}  .033007{col 40}{space 1}    5.31{col 49}{space 3}0.000{col 57}{space 4} .1085513{col 70}{space 3} .2418693
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.003539{col 29}{space 2} .2524428{col 40}{space 1}   -3.98{col 49}{space 3}0.000{col 57}{space 4}-1.513358{col 70}{space 3}-.4937206
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predamblaborr = predambotherr = predambcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predamblaborr - predambotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predamblaborr - predambcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    5.54
{txt}{col 13}Prob > F ={res}    0.0074
{txt}
{com}. 
. // RANDOM EFFECTS
. 
. // Generating transformed variables for RE
. 
. gen revar = se^2 + tau2
{txt}
{com}. gen rese = sqrt(revar)
{txt}
{com}. gen reprecision = 1/rese
{txt}
{com}. gen retstat = coefficient/rese
{txt}
{com}. gen repubbias = se/rese
{txt}
{com}. replace predneglaborr = predneglabor/rese
{txt}(41 real changes made)

{com}. replace prednegcapitall = prednegcapital/rese
{txt}(28 real changes made)

{com}. replace prednegotherr = prednegother/rese
{txt}(77 real changes made)

{com}. replace predamblaborr = predamblabor/rese
{txt}(78 real changes made)

{com}. replace predambcapitall = predambcapital/rese
{txt}(52 real changes made)

{com}. replace predambotherr = predambother/rese
{txt}(327 real changes made)

{com}. replace predposs = predpos/rese
{txt}(38 real changes made)

{com}. replace peerreviewedd = peerreviewed/rese
{txt}(424 real changes made)

{com}. replace pubyearr = pubyear/rese
{txt}(639 real changes made)

{com}. replace css = cs/rese
{txt}(6 real changes made)

{com}. replace lengthh = length/rese
{txt}(641 real changes made)

{com}. replace midyearr = midyear/rese
{txt}(641 real changes made)

{com}. replace gdpp = gdp/rese
{txt}(166 real changes made)

{com}. replace marginall = marginal/rese
{txt}(58 real changes made)

{com}. replace differencedd = differenced/rese
{txt}(110 real changes made)

{com}. replace etrr = etr/rese
{txt}(581 real changes made)

{com}. replace investmentt = investment/rese
{txt}(375 real changes made)

{com}. replace tradeopennesss = tradeopenness/rese
{txt}(109 real changes made)

{com}. replace humann = human/rese
{txt}(282 real changes made)

{com}. replace popgrowthh = popgrowth/rese
{txt}(156 real changes made)

{com}. replace employgrowthh = employgrowth/rese
{txt}(242 real changes made)

{com}. replace unemploymentt = unemploymentrate/rese
{txt}(58 real changes made)

{com}. replace inflationn = inflation/rese
{txt}(84 real changes made)

{com}. replace incomee = income/rese
{txt}(358 real changes made)

{com}. replace laggeddvv = laggeddv/rese
{txt}(107 real changes made)

{com}. replace countryfee = countryfe/rese
{txt}(534 real changes made)

{com}. replace sehacc = sehac/rese
{txt}(108 real changes made)

{com}. replace sehett = sehet/rese
{txt}(157 real changes made)

{com}. replace lrcase22 = lrcase2/rese
{txt}(34 real changes made)

{com}. replace lrcase33 = lrcase3/rese
{txt}(157 real changes made)

{com}. replace glss = gls/rese
{txt}(99 real changes made)

{com}. replace endogg = endog/rese
{txt}(108 real changes made)

{com}. replace eu155 = eu15/rese
{txt}(41 real changes made)

{com}. replace g77 = g7/rese
{txt}(75 real changes made)

{com}. replace eumemm = eumem/rese
{txt}(20 real changes made)

{com}. 
. // TABLE 8/PANEL A
. // INCLUDING ALL VARIABLES
. 
. //This regression gives equal weight to each estimate
. // TABLE 8 - Panel A/Column 3
. regress retstat reprecision repubbias endogg  ///
> predneglaborr prednegcapitall prednegotherr ///
> predposs peerreviewedd pubyearr css lengthh midyearr gdpp ///
> marginall differencedd etrr investmentt tradeopennesss humann popgrowthh ///
> employgrowthh unemploymentt inflationn incomee laggeddvv countryfee sehacc ///
> sehett lrcase22 lrcase33 glss eu155 g77 eumemm, noc vce(cluster idstudy)

{txt}Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(32, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6500
                                                {txt}Root MSE          =    {res}  .9782

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        retstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}reprecision {c |}{col 17}{res}{space 2}-.1228148{col 29}{space 2} .1526585{col 40}{space 1}   -0.80{col 49}{space 3}0.426{col 57}{space 4}-.4311149{col 70}{space 3} .1854854
{txt}{space 6}repubbias {c |}{col 17}{res}{space 2}-.5919703{col 29}{space 2} .1462549{col 40}{space 1}   -4.05{col 49}{space 3}0.000{col 57}{space 4}-.8873381{col 70}{space 3}-.2966025
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0046316{col 29}{space 2} .0192283{col 40}{space 1}   -0.24{col 49}{space 3}0.811{col 57}{space 4}-.0434639{col 70}{space 3} .0342007
{txt}{space 2}predneglaborr {c |}{col 17}{res}{space 2} -.019342{col 29}{space 2} .0292225{col 40}{space 1}   -0.66{col 49}{space 3}0.512{col 57}{space 4} -.078358{col 70}{space 3} .0396741
{txt}prednegcapitall {c |}{col 17}{res}{space 2} .0053174{col 29}{space 2} .0262974{col 40}{space 1}    0.20{col 49}{space 3}0.841{col 57}{space 4}-.0477912{col 70}{space 3} .0584261
{txt}{space 2}prednegotherr {c |}{col 17}{res}{space 2}-.1735082{col 29}{space 2} .0395854{col 40}{space 1}   -4.38{col 49}{space 3}0.000{col 57}{space 4}-.2534526{col 70}{space 3}-.0935637
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0571343{col 29}{space 2} .0261382{col 40}{space 1}    2.19{col 49}{space 3}0.035{col 57}{space 4} .0043471{col 70}{space 3} .1099215
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0137287{col 29}{space 2} .0218853{col 40}{space 1}    0.63{col 49}{space 3}0.534{col 57}{space 4}-.0304697{col 70}{space 3}  .057927
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0033232{col 29}{space 2} .0043553{col 40}{space 1}    0.76{col 49}{space 3}0.450{col 57}{space 4}-.0054725{col 70}{space 3} .0121189
{txt}{space 12}css {c |}{col 17}{res}{space 2} .0488202{col 29}{space 2} .0199528{col 40}{space 1}    2.45{col 49}{space 3}0.019{col 57}{space 4} .0085248{col 70}{space 3} .0891157
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2} .0005598{col 29}{space 2} .0021074{col 40}{space 1}    0.27{col 49}{space 3}0.792{col 57}{space 4}-.0036962{col 70}{space 3} .0048157
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2} -.001638{col 29}{space 2} .0037085{col 40}{space 1}   -0.44{col 49}{space 3}0.661{col 57}{space 4}-.0091275{col 70}{space 3} .0058515
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0915539{col 29}{space 2} .0389257{col 40}{space 1}    2.35{col 49}{space 3}0.024{col 57}{space 4} .0129419{col 70}{space 3}  .170166
{txt}{space 6}marginall {c |}{col 17}{res}{space 2} .0420057{col 29}{space 2} .0202801{col 40}{space 1}    2.07{col 49}{space 3}0.045{col 57}{space 4} .0010491{col 70}{space 3} .0829623
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0770055{col 29}{space 2} .0375206{col 40}{space 1}   -2.05{col 49}{space 3}0.047{col 57}{space 4}-.1527798{col 70}{space 3}-.0012312
{txt}{space 11}etrr {c |}{col 17}{res}{space 2} .0538032{col 29}{space 2} .0165069{col 40}{space 1}    3.26{col 49}{space 3}0.002{col 57}{space 4} .0204668{col 70}{space 3} .0871396
{txt}{space 4}investmentt {c |}{col 17}{res}{space 2}  .014839{col 29}{space 2} .0178004{col 40}{space 1}    0.83{col 49}{space 3}0.409{col 57}{space 4}-.0211095{col 70}{space 3} .0507876
{txt}{space 1}tradeopennesss {c |}{col 17}{res}{space 2} .0126098{col 29}{space 2} .0194275{col 40}{space 1}    0.65{col 49}{space 3}0.520{col 57}{space 4}-.0266249{col 70}{space 3} .0518445
{txt}{space 9}humann {c |}{col 17}{res}{space 2}-.0482382{col 29}{space 2} .0276969{col 40}{space 1}   -1.74{col 49}{space 3}0.089{col 57}{space 4}-.1041733{col 70}{space 3} .0076969
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0624998{col 29}{space 2} .0300427{col 40}{space 1}   -2.08{col 49}{space 3}0.044{col 57}{space 4}-.1231724{col 70}{space 3}-.0018273
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2}-.0056365{col 29}{space 2} .0236649{col 40}{space 1}   -0.24{col 49}{space 3}0.813{col 57}{space 4}-.0534288{col 70}{space 3} .0421558
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0726187{col 29}{space 2} .0294601{col 40}{space 1}    2.46{col 49}{space 3}0.018{col 57}{space 4} .0131229{col 70}{space 3} .1321146
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0390538{col 29}{space 2} .0262674{col 40}{space 1}   -1.49{col 49}{space 3}0.145{col 57}{space 4}-.0921018{col 70}{space 3} .0139943
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0625074{col 29}{space 2} .0330697{col 40}{space 1}    1.89{col 49}{space 3}0.066{col 57}{space 4}-.0042783{col 70}{space 3} .1292931
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2}  .020459{col 29}{space 2} .0336295{col 40}{space 1}    0.61{col 49}{space 3}0.546{col 57}{space 4}-.0474571{col 70}{space 3}  .088375
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0248658{col 29}{space 2} .0279588{col 40}{space 1}   -0.89{col 49}{space 3}0.379{col 57}{space 4}-.0813299{col 70}{space 3} .0315982
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0638559{col 29}{space 2} .0362045{col 40}{space 1}    1.76{col 49}{space 3}0.085{col 57}{space 4}-.0092605{col 70}{space 3} .1369723
{txt}{space 9}sehett {c |}{col 17}{res}{space 2} .0300423{col 29}{space 2} .0161404{col 40}{space 1}    1.86{col 49}{space 3}0.070{col 57}{space 4}-.0025539{col 70}{space 3} .0626385
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0400269{col 29}{space 2} .0380192{col 40}{space 1}    1.05{col 49}{space 3}0.299{col 57}{space 4}-.0367544{col 70}{space 3} .1168083
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0722673{col 29}{space 2} .0284729{col 40}{space 1}   -2.54{col 49}{space 3}0.015{col 57}{space 4}-.1297695{col 70}{space 3}-.0147651
{txt}{space 11}glss {c |}{col 17}{res}{space 2}-.0449102{col 29}{space 2} .0204095{col 40}{space 1}   -2.20{col 49}{space 3}0.033{col 57}{space 4}-.0861281{col 70}{space 3}-.0036923
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .1140626{col 29}{space 2} .0472676{col 40}{space 1}    2.41{col 49}{space 3}0.020{col 57}{space 4} .0186037{col 70}{space 3} .2095214
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .0872606{col 29}{space 2} .0411269{col 40}{space 1}    2.12{col 49}{space 3}0.040{col 57}{space 4} .0042032{col 70}{space 3}  .170318
{txt}{space 9}eumemm {c |}{col 17}{res}{space 2}-.0289061{col 29}{space 2} .0543077{col 40}{space 1}   -0.53{col 49}{space 3}0.597{col 57}{space 4}-.1385828{col 70}{space 3} .0807706
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predneglaborr = prednegotherr = prednegcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predneglaborr - prednegotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predneglaborr - prednegcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}   17.14
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 8 - Panel A/Column 4
. regress retstat reprecision repubbias endogg  ///
> predneglaborr prednegcapitall prednegotherr ///
> predposs peerreviewedd pubyearr css lengthh midyearr gdpp ///
> marginall differencedd etrr investmentt tradeopennesss humann popgrowthh ///
> employgrowthh unemploymentt inflationn incomee laggeddvv countryfee sehacc ///
> sehett lrcase22 lrcase33 glss eu155 g77 eumemm [pweight = weight],  ///
> noc vce(cluster idstudy)
{txt}(sum of wgt is 38.11478993733051)

Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(32, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6464
                                                {txt}Root MSE          =    {res} .94079

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        retstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}reprecision {c |}{col 17}{res}{space 2}-.1066208{col 29}{space 2} .1573434{col 40}{space 1}   -0.68{col 49}{space 3}0.502{col 57}{space 4}-.4243822{col 70}{space 3} .2111405
{txt}{space 6}repubbias {c |}{col 17}{res}{space 2}-.6255976{col 29}{space 2}  .178227{col 40}{space 1}   -3.51{col 49}{space 3}0.001{col 57}{space 4}-.9855344{col 70}{space 3}-.2656607
{txt}{space 9}endogg {c |}{col 17}{res}{space 2} .0166883{col 29}{space 2} .0198843{col 40}{space 1}    0.84{col 49}{space 3}0.406{col 57}{space 4}-.0234688{col 70}{space 3} .0568455
{txt}{space 2}predneglaborr {c |}{col 17}{res}{space 2} .0028206{col 29}{space 2}  .036319{col 40}{space 1}    0.08{col 49}{space 3}0.938{col 57}{space 4} -.070527{col 70}{space 3} .0761682
{txt}prednegcapitall {c |}{col 17}{res}{space 2}-.0121654{col 29}{space 2} .0312225{col 40}{space 1}   -0.39{col 49}{space 3}0.699{col 57}{space 4}-.0752205{col 70}{space 3} .0508897
{txt}{space 2}prednegotherr {c |}{col 17}{res}{space 2}-.1508398{col 29}{space 2} .0392653{col 40}{space 1}   -3.84{col 49}{space 3}0.000{col 57}{space 4}-.2301378{col 70}{space 3}-.0715419
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0546206{col 29}{space 2} .0249687{col 40}{space 1}    2.19{col 49}{space 3}0.034{col 57}{space 4} .0041954{col 70}{space 3} .1050459
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2}   .01791{col 29}{space 2} .0200975{col 40}{space 1}    0.89{col 49}{space 3}0.378{col 57}{space 4}-.0226778{col 70}{space 3} .0584978
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0029615{col 29}{space 2} .0041117{col 40}{space 1}    0.72{col 49}{space 3}0.475{col 57}{space 4}-.0053423{col 70}{space 3} .0112653
{txt}{space 12}css {c |}{col 17}{res}{space 2} .0263204{col 29}{space 2} .0212143{col 40}{space 1}    1.24{col 49}{space 3}0.222{col 57}{space 4}-.0165228{col 70}{space 3} .0691636
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2} .0000897{col 29}{space 2} .0023304{col 40}{space 1}    0.04{col 49}{space 3}0.969{col 57}{space 4}-.0046166{col 70}{space 3} .0047961
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0012254{col 29}{space 2} .0034577{col 40}{space 1}   -0.35{col 49}{space 3}0.725{col 57}{space 4}-.0082083{col 70}{space 3} .0057575
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0537891{col 29}{space 2} .0346016{col 40}{space 1}    1.55{col 49}{space 3}0.128{col 57}{space 4}-.0160902{col 70}{space 3} .1236684
{txt}{space 6}marginall {c |}{col 17}{res}{space 2} .0506076{col 29}{space 2} .0289007{col 40}{space 1}    1.75{col 49}{space 3}0.087{col 57}{space 4}-.0077586{col 70}{space 3} .1089737
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0680829{col 29}{space 2} .0365883{col 40}{space 1}   -1.86{col 49}{space 3}0.070{col 57}{space 4}-.1419745{col 70}{space 3} .0058086
{txt}{space 11}etrr {c |}{col 17}{res}{space 2} .0417195{col 29}{space 2} .0378749{col 40}{space 1}    1.10{col 49}{space 3}0.277{col 57}{space 4}-.0347704{col 70}{space 3} .1182093
{txt}{space 4}investmentt {c |}{col 17}{res}{space 2}  .007994{col 29}{space 2} .0158372{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4}-.0239898{col 70}{space 3} .0399779
{txt}{space 1}tradeopennesss {c |}{col 17}{res}{space 2} .0016403{col 29}{space 2} .0128134{col 40}{space 1}    0.13{col 49}{space 3}0.899{col 57}{space 4}-.0242369{col 70}{space 3} .0275175
{txt}{space 9}humann {c |}{col 17}{res}{space 2}-.0383085{col 29}{space 2} .0228827{col 40}{space 1}   -1.67{col 49}{space 3}0.102{col 57}{space 4} -.084521{col 70}{space 3} .0079041
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0643786{col 29}{space 2} .0237698{col 40}{space 1}   -2.71{col 49}{space 3}0.010{col 57}{space 4}-.1123828{col 70}{space 3}-.0163745
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2} .0185181{col 29}{space 2} .0207524{col 40}{space 1}    0.89{col 49}{space 3}0.377{col 57}{space 4}-.0233923{col 70}{space 3} .0604285
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0451204{col 29}{space 2} .0204784{col 40}{space 1}    2.20{col 49}{space 3}0.033{col 57}{space 4} .0037635{col 70}{space 3} .0864773
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0185576{col 29}{space 2} .0244169{col 40}{space 1}   -0.76{col 49}{space 3}0.452{col 57}{space 4}-.0678686{col 70}{space 3} .0307534
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0811268{col 29}{space 2} .0316201{col 40}{space 1}    2.57{col 49}{space 3}0.014{col 57}{space 4} .0172687{col 70}{space 3}  .144985
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2} .0232338{col 29}{space 2} .0479494{col 40}{space 1}    0.48{col 49}{space 3}0.631{col 57}{space 4}-.0736019{col 70}{space 3} .1200695
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0297369{col 29}{space 2} .0306311{col 40}{space 1}   -0.97{col 49}{space 3}0.337{col 57}{space 4}-.0915978{col 70}{space 3}  .032124
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2}  .046263{col 29}{space 2} .0393453{col 40}{space 1}    1.18{col 49}{space 3}0.246{col 57}{space 4}-.0331964{col 70}{space 3} .1257224
{txt}{space 9}sehett {c |}{col 17}{res}{space 2} .0108099{col 29}{space 2} .0172464{col 40}{space 1}    0.63{col 49}{space 3}0.534{col 57}{space 4}-.0240199{col 70}{space 3} .0456397
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0431216{col 29}{space 2} .0413326{col 40}{space 1}    1.04{col 49}{space 3}0.303{col 57}{space 4}-.0403514{col 70}{space 3} .1265945
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0886175{col 29}{space 2} .0267028{col 40}{space 1}   -3.32{col 49}{space 3}0.002{col 57}{space 4}-.1425449{col 70}{space 3}-.0346901
{txt}{space 11}glss {c |}{col 17}{res}{space 2}-.0288005{col 29}{space 2} .0194563{col 40}{space 1}   -1.48{col 49}{space 3}0.146{col 57}{space 4}-.0680934{col 70}{space 3} .0104924
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0964013{col 29}{space 2} .0495636{col 40}{space 1}    1.94{col 49}{space 3}0.059{col 57}{space 4}-.0036946{col 70}{space 3} .1964971
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .0988965{col 29}{space 2} .0348922{col 40}{space 1}    2.83{col 49}{space 3}0.007{col 57}{space 4} .0284303{col 70}{space 3} .1693627
{txt}{space 9}eumemm {c |}{col 17}{res}{space 2} .0058562{col 29}{space 2} .0502741{col 40}{space 1}    0.12{col 49}{space 3}0.908{col 57}{space 4}-.0956745{col 70}{space 3} .1073869
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predneglaborr = prednegotherr = prednegcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predneglaborr - prednegotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predneglaborr - prednegcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    7.11
{txt}{col 13}Prob > F ={res}    0.0022
{txt}
{com}. 
. // TABLE 8/PANEL B
. // INCLUDING ALL VARIABLES
. 
. //This regression gives equal weight to each estimate
. // TABLE 8 - Panel B/Column 3
. regress retstat reprecision repubbias endogg  ///
> predamblaborr predambcapitall predambotherr ///
> predposs peerreviewedd pubyearr css lengthh midyearr gdpp ///
> marginall differencedd etrr investmentt tradeopennesss humann popgrowthh ///
> employgrowthh unemploymentt inflationn incomee laggeddvv countryfee sehacc ///
> sehett lrcase22 lrcase33 glss eu155 g77 eumemm, noc vce(cluster idstudy)

{txt}Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(32, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6262
                                                {txt}Root MSE          =    {res} 1.0109

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        retstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}reprecision {c |}{col 17}{res}{space 2} .0196222{col 29}{space 2} .1645183{col 40}{space 1}    0.12{col 49}{space 3}0.906{col 57}{space 4}-.3126292{col 70}{space 3} .3518736
{txt}{space 6}repubbias {c |}{col 17}{res}{space 2}-.6648908{col 29}{space 2} .1555484{col 40}{space 1}   -4.27{col 49}{space 3}0.000{col 57}{space 4}-.9790272{col 70}{space 3}-.3507544
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0129117{col 29}{space 2} .0209295{col 40}{space 1}   -0.62{col 49}{space 3}0.541{col 57}{space 4}-.0551797{col 70}{space 3} .0293562
{txt}{space 2}predamblaborr {c |}{col 17}{res}{space 2}  .043662{col 29}{space 2}  .041414{col 40}{space 1}    1.05{col 49}{space 3}0.298{col 57}{space 4}-.0399753{col 70}{space 3} .1272993
{txt}predambcapitall {c |}{col 17}{res}{space 2} .0944982{col 29}{space 2}  .032446{col 40}{space 1}    2.91{col 49}{space 3}0.006{col 57}{space 4} .0289721{col 70}{space 3} .1600242
{txt}{space 2}predambotherr {c |}{col 17}{res}{space 2} .0877489{col 29}{space 2} .0324823{col 40}{space 1}    2.70{col 49}{space 3}0.010{col 57}{space 4} .0221496{col 70}{space 3} .1533483
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .1435648{col 29}{space 2} .0358685{col 40}{space 1}    4.00{col 49}{space 3}0.000{col 57}{space 4} .0711269{col 70}{space 3} .2160026
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0168167{col 29}{space 2} .0247507{col 40}{space 1}    0.68{col 49}{space 3}0.501{col 57}{space 4}-.0331683{col 70}{space 3} .0668017
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2}   .01073{col 29}{space 2} .0042639{col 40}{space 1}    2.52{col 49}{space 3}0.016{col 57}{space 4} .0021189{col 70}{space 3}  .019341
{txt}{space 12}css {c |}{col 17}{res}{space 2} .0606244{col 29}{space 2} .0287697{col 40}{space 1}    2.11{col 49}{space 3}0.041{col 57}{space 4} .0025229{col 70}{space 3} .1187259
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2}-.0011673{col 29}{space 2} .0024814{col 40}{space 1}   -0.47{col 49}{space 3}0.641{col 57}{space 4}-.0061786{col 70}{space 3}  .003844
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0087352{col 29}{space 2} .0041387{col 40}{space 1}   -2.11{col 49}{space 3}0.041{col 57}{space 4}-.0170934{col 70}{space 3}-.0003769
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0739217{col 29}{space 2} .0362756{col 40}{space 1}    2.04{col 49}{space 3}0.048{col 57}{space 4} .0006617{col 70}{space 3} .1471816
{txt}{space 6}marginall {c |}{col 17}{res}{space 2} .0399526{col 29}{space 2} .0182766{col 40}{space 1}    2.19{col 49}{space 3}0.035{col 57}{space 4} .0030422{col 70}{space 3} .0768629
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}  -.07557{col 29}{space 2} .0405503{col 40}{space 1}   -1.86{col 49}{space 3}0.070{col 57}{space 4}-.1574631{col 70}{space 3}  .006323
{txt}{space 11}etrr {c |}{col 17}{res}{space 2} .0225076{col 29}{space 2} .0296675{col 40}{space 1}    0.76{col 49}{space 3}0.452{col 57}{space 4}-.0374071{col 70}{space 3} .0824224
{txt}{space 4}investmentt {c |}{col 17}{res}{space 2}-.0089171{col 29}{space 2} .0154843{col 40}{space 1}   -0.58{col 49}{space 3}0.568{col 57}{space 4}-.0401884{col 70}{space 3} .0223541
{txt}{space 1}tradeopennesss {c |}{col 17}{res}{space 2} .0094154{col 29}{space 2} .0201571{col 40}{space 1}    0.47{col 49}{space 3}0.643{col 57}{space 4}-.0312927{col 70}{space 3} .0501236
{txt}{space 9}humann {c |}{col 17}{res}{space 2} .0047102{col 29}{space 2} .0268233{col 40}{space 1}    0.18{col 49}{space 3}0.861{col 57}{space 4}-.0494605{col 70}{space 3} .0588808
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0687592{col 29}{space 2} .0340106{col 40}{space 1}   -2.02{col 49}{space 3}0.050{col 57}{space 4} -.137445{col 70}{space 3}-.0000735
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2} .0057909{col 29}{space 2} .0252453{col 40}{space 1}    0.23{col 49}{space 3}0.820{col 57}{space 4}-.0451931{col 70}{space 3} .0567749
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0728903{col 29}{space 2} .0305511{col 40}{space 1}    2.39{col 49}{space 3}0.022{col 57}{space 4}  .011191{col 70}{space 3} .1345895
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0354186{col 29}{space 2} .0269037{col 40}{space 1}   -1.32{col 49}{space 3}0.195{col 57}{space 4}-.0897518{col 70}{space 3} .0189145
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0580306{col 29}{space 2} .0353356{col 40}{space 1}    1.64{col 49}{space 3}0.108{col 57}{space 4} -.013331{col 70}{space 3} .1293923
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2} .0109388{col 29}{space 2} .0420459{col 40}{space 1}    0.26{col 49}{space 3}0.796{col 57}{space 4}-.0739747{col 70}{space 3} .0958522
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0371849{col 29}{space 2} .0323771{col 40}{space 1}   -1.15{col 49}{space 3}0.257{col 57}{space 4}-.1025717{col 70}{space 3} .0282019
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0659634{col 29}{space 2} .0418843{col 40}{space 1}    1.57{col 49}{space 3}0.123{col 57}{space 4}-.0186238{col 70}{space 3} .1505505
{txt}{space 9}sehett {c |}{col 17}{res}{space 2} .0225158{col 29}{space 2} .0182236{col 40}{space 1}    1.24{col 49}{space 3}0.224{col 57}{space 4}-.0142875{col 70}{space 3} .0593191
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0601599{col 29}{space 2} .0472451{col 40}{space 1}    1.27{col 49}{space 3}0.210{col 57}{space 4}-.0352534{col 70}{space 3} .1555733
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0740578{col 29}{space 2} .0314417{col 40}{space 1}   -2.36{col 49}{space 3}0.023{col 57}{space 4}-.1375555{col 70}{space 3}-.0105601
{txt}{space 11}glss {c |}{col 17}{res}{space 2} -.054603{col 29}{space 2} .0262526{col 40}{space 1}   -2.08{col 49}{space 3}0.044{col 57}{space 4}-.1076212{col 70}{space 3}-.0015847
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2}  .095712{col 29}{space 2} .0571623{col 40}{space 1}    1.67{col 49}{space 3}0.102{col 57}{space 4}-.0197297{col 70}{space 3} .2111536
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .1563044{col 29}{space 2} .0447368{col 40}{space 1}    3.49{col 49}{space 3}0.001{col 57}{space 4} .0659566{col 70}{space 3} .2466523
{txt}{space 9}eumemm {c |}{col 17}{res}{space 2}  .024563{col 29}{space 2} .0513167{col 40}{space 1}    0.48{col 49}{space 3}0.635{col 57}{space 4}-.0790731{col 70}{space 3} .1281991
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predamblaborr = predambotherr = predambcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predamblaborr - predambotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predamblaborr - predambcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    1.23
{txt}{col 13}Prob > F ={res}    0.3030
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 8 - Panel B/Column 4
. regress retstat reprecision repubbias endogg  ///
> predamblaborr predambcapitall predambotherr ///
> predposs peerreviewedd pubyearr css lengthh midyearr gdpp ///
> marginall differencedd etrr investmentt tradeopennesss humann popgrowthh ///
> employgrowthh unemploymentt inflationn incomee laggeddvv countryfee sehacc ///
> sehett lrcase22 lrcase33 glss eu155 g77 eumemm [pweight = weight],  ///
> noc vce(cluster idstudy)
{txt}(sum of wgt is 38.11478993733051)

Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(32, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6296
                                                {txt}Root MSE          =    {res} .96286

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        retstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}reprecision {c |}{col 17}{res}{space 2}-.0206247{col 29}{space 2} .1636182{col 40}{space 1}   -0.13{col 49}{space 3}0.900{col 57}{space 4}-.3510585{col 70}{space 3}  .309809
{txt}{space 6}repubbias {c |}{col 17}{res}{space 2}-.6361521{col 29}{space 2} .1891938{col 40}{space 1}   -3.36{col 49}{space 3}0.002{col 57}{space 4}-1.018237{col 70}{space 3}-.2540676
{txt}{space 9}endogg {c |}{col 17}{res}{space 2} .0099707{col 29}{space 2} .0203807{col 40}{space 1}    0.49{col 49}{space 3}0.627{col 57}{space 4}-.0311889{col 70}{space 3} .0511303
{txt}{space 2}predamblaborr {c |}{col 17}{res}{space 2} .0551622{col 29}{space 2} .0424442{col 40}{space 1}    1.30{col 49}{space 3}0.201{col 57}{space 4}-.0305556{col 70}{space 3} .1408801
{txt}predambcapitall {c |}{col 17}{res}{space 2} .1066908{col 29}{space 2} .0375499{col 40}{space 1}    2.84{col 49}{space 3}0.007{col 57}{space 4} .0308574{col 70}{space 3} .1825243
{txt}{space 2}predambotherr {c |}{col 17}{res}{space 2} .0942806{col 29}{space 2} .0337125{col 40}{space 1}    2.80{col 49}{space 3}0.008{col 57}{space 4} .0261969{col 70}{space 3} .1623643
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .1482744{col 29}{space 2} .0368825{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4} .0737886{col 70}{space 3} .2227601
{txt}{space 2}peerreviewedd {c |}{col 17}{res}{space 2} .0165138{col 29}{space 2} .0210183{col 40}{space 1}    0.79{col 49}{space 3}0.437{col 57}{space 4}-.0259335{col 70}{space 3} .0589612
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0064428{col 29}{space 2}  .004148{col 40}{space 1}    1.55{col 49}{space 3}0.128{col 57}{space 4}-.0019342{col 70}{space 3} .0148198
{txt}{space 12}css {c |}{col 17}{res}{space 2} .0269212{col 29}{space 2} .0294965{col 40}{space 1}    0.91{col 49}{space 3}0.367{col 57}{space 4}-.0326482{col 70}{space 3} .0864906
{txt}{space 8}lengthh {c |}{col 17}{res}{space 2}-.0002365{col 29}{space 2} .0027702{col 40}{space 1}   -0.09{col 49}{space 3}0.932{col 57}{space 4} -.005831{col 70}{space 3} .0053581
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0043941{col 29}{space 2} .0039308{col 40}{space 1}   -1.12{col 49}{space 3}0.270{col 57}{space 4}-.0123326{col 70}{space 3} .0035443
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0400269{col 29}{space 2} .0335451{col 40}{space 1}    1.19{col 49}{space 3}0.240{col 57}{space 4}-.0277187{col 70}{space 3} .1077726
{txt}{space 6}marginall {c |}{col 17}{res}{space 2} .0254091{col 29}{space 2} .0366014{col 40}{space 1}    0.69{col 49}{space 3}0.491{col 57}{space 4}-.0485089{col 70}{space 3} .0993271
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0866506{col 29}{space 2} .0368148{col 40}{space 1}   -2.35{col 49}{space 3}0.023{col 57}{space 4}-.1609996{col 70}{space 3}-.0123016
{txt}{space 11}etrr {c |}{col 17}{res}{space 2}-.0498078{col 29}{space 2} .0649234{col 40}{space 1}   -0.77{col 49}{space 3}0.447{col 57}{space 4}-.1809234{col 70}{space 3} .0813077
{txt}{space 4}investmentt {c |}{col 17}{res}{space 2}-.0063968{col 29}{space 2} .0139296{col 40}{space 1}   -0.46{col 49}{space 3}0.648{col 57}{space 4}-.0345282{col 70}{space 3} .0217345
{txt}{space 1}tradeopennesss {c |}{col 17}{res}{space 2} .0044518{col 29}{space 2}  .012017{col 40}{space 1}    0.37{col 49}{space 3}0.713{col 57}{space 4}-.0198171{col 70}{space 3} .0287206
{txt}{space 9}humann {c |}{col 17}{res}{space 2}-.0190189{col 29}{space 2} .0246689{col 40}{space 1}   -0.77{col 49}{space 3}0.445{col 57}{space 4}-.0688388{col 70}{space 3}  .030801
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0681653{col 29}{space 2} .0256344{col 40}{space 1}   -2.66{col 49}{space 3}0.011{col 57}{space 4} -.119935{col 70}{space 3}-.0163956
{txt}{space 2}employgrowthh {c |}{col 17}{res}{space 2} .0196384{col 29}{space 2} .0223048{col 40}{space 1}    0.88{col 49}{space 3}0.384{col 57}{space 4}-.0254071{col 70}{space 3} .0646839
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0386015{col 29}{space 2} .0214731{col 40}{space 1}    1.80{col 49}{space 3}0.080{col 57}{space 4}-.0047643{col 70}{space 3} .0819673
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0178339{col 29}{space 2} .0238975{col 40}{space 1}   -0.75{col 49}{space 3}0.460{col 57}{space 4}-.0660958{col 70}{space 3}  .030428
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0759931{col 29}{space 2} .0326848{col 40}{space 1}    2.33{col 49}{space 3}0.025{col 57}{space 4} .0099848{col 70}{space 3} .1420014
{txt}{space 6}laggeddvv {c |}{col 17}{res}{space 2} .0127791{col 29}{space 2}  .054553{col 40}{space 1}    0.23{col 49}{space 3}0.816{col 57}{space 4} -.097393{col 70}{space 3} .1229512
{txt}{space 5}countryfee {c |}{col 17}{res}{space 2}-.0423032{col 29}{space 2}  .035832{col 40}{space 1}   -1.18{col 49}{space 3}0.245{col 57}{space 4}-.1146673{col 70}{space 3} .0300609
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0440718{col 29}{space 2} .0416449{col 40}{space 1}    1.06{col 49}{space 3}0.296{col 57}{space 4}-.0400318{col 70}{space 3} .1281753
{txt}{space 9}sehett {c |}{col 17}{res}{space 2} .0103617{col 29}{space 2} .0175498{col 40}{space 1}    0.59{col 49}{space 3}0.558{col 57}{space 4}-.0250809{col 70}{space 3} .0458043
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0567619{col 29}{space 2} .0481933{col 40}{space 1}    1.18{col 49}{space 3}0.246{col 57}{space 4}-.0405663{col 70}{space 3} .1540902
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0897732{col 29}{space 2} .0285208{col 40}{space 1}   -3.15{col 49}{space 3}0.003{col 57}{space 4}-.1473721{col 70}{space 3}-.0321744
{txt}{space 11}glss {c |}{col 17}{res}{space 2}-.0313065{col 29}{space 2} .0215365{col 40}{space 1}   -1.45{col 49}{space 3}0.154{col 57}{space 4}-.0748003{col 70}{space 3} .0121874
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .0912733{col 29}{space 2} .0532919{col 40}{space 1}    1.71{col 49}{space 3}0.094{col 57}{space 4}-.0163518{col 70}{space 3} .1988984
{txt}{space 12}g77 {c |}{col 17}{res}{space 2}  .137655{col 29}{space 2} .0416415{col 40}{space 1}    3.31{col 49}{space 3}0.002{col 57}{space 4} .0535584{col 70}{space 3} .2217516
{txt}{space 9}eumemm {c |}{col 17}{res}{space 2} .0458285{col 29}{space 2}  .046965{col 40}{space 1}    0.98{col 49}{space 3}0.335{col 57}{space 4}-.0490193{col 70}{space 3} .1406763
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predamblaborr = predambotherr = predambcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predamblaborr - predambotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predamblaborr - predambcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    1.29
{txt}{col 13}Prob > F ={res}    0.2864
{txt}
{com}. 
. // TABLE 8/PANEL C
. // USING BACKWARDS STEPWISE REGRESSION
. 
. //This regression gives equal weight to each estimate
. // TABLE 8 - Panel C/Column 3
. // This estimates the "final best equation"
. regress retstat reprecision repubbias endogg  ///
> predneglaborr prednegcapitall prednegotherr ///
> predposs pubyearr midyearr gdpp differencedd popgrowthh ///
> unemploymentt inflationn incomee sehacc lrcase22 lrcase33 eu155 g77, noc vce(cluster idstudy)

{txt}Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(19, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6287
                                                {txt}Root MSE          =    {res} .99608

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        retstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}reprecision {c |}{col 17}{res}{space 2}-.0114728{col 29}{space 2} .0646437{col 40}{space 1}   -0.18{col 49}{space 3}0.860{col 57}{space 4}-.1420233{col 70}{space 3} .1190778
{txt}{space 6}repubbias {c |}{col 17}{res}{space 2}-.6225578{col 29}{space 2} .1484918{col 40}{space 1}   -4.19{col 49}{space 3}0.000{col 57}{space 4} -.922443{col 70}{space 3}-.3226726
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}  .003638{col 29}{space 2} .0184221{col 40}{space 1}    0.20{col 49}{space 3}0.844{col 57}{space 4}-.0335662{col 70}{space 3} .0408423
{txt}{space 2}predneglaborr {c |}{col 17}{res}{space 2}-.0407569{col 29}{space 2} .0305116{col 40}{space 1}   -1.34{col 49}{space 3}0.189{col 57}{space 4}-.1023764{col 70}{space 3} .0208626
{txt}prednegcapitall {c |}{col 17}{res}{space 2} -.015566{col 29}{space 2} .0252684{col 40}{space 1}   -0.62{col 49}{space 3}0.541{col 57}{space 4}-.0665965{col 70}{space 3} .0354645
{txt}{space 2}prednegotherr {c |}{col 17}{res}{space 2}-.1508173{col 29}{space 2} .0369324{col 40}{space 1}   -4.08{col 49}{space 3}0.000{col 57}{space 4}-.2254038{col 70}{space 3}-.0762307
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0645413{col 29}{space 2}  .028164{col 40}{space 1}    2.29{col 49}{space 3}0.027{col 57}{space 4} .0076628{col 70}{space 3} .1214197
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0029251{col 29}{space 2} .0033674{col 40}{space 1}    0.87{col 49}{space 3}0.390{col 57}{space 4}-.0038756{col 70}{space 3} .0097258
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0028279{col 29}{space 2} .0028041{col 40}{space 1}   -1.01{col 49}{space 3}0.319{col 57}{space 4}-.0084909{col 70}{space 3} .0028351
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0760427{col 29}{space 2} .0280955{col 40}{space 1}    2.71{col 49}{space 3}0.010{col 57}{space 4} .0193028{col 70}{space 3} .1327826
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0677878{col 29}{space 2} .0242056{col 40}{space 1}   -2.80{col 49}{space 3}0.008{col 57}{space 4}-.1166721{col 70}{space 3}-.0189036
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0584054{col 29}{space 2} .0295683{col 40}{space 1}   -1.98{col 49}{space 3}0.055{col 57}{space 4}-.1181198{col 70}{space 3} .0013089
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0525714{col 29}{space 2}  .025803{col 40}{space 1}    2.04{col 49}{space 3}0.048{col 57}{space 4} .0004612{col 70}{space 3} .1046815
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0494421{col 29}{space 2} .0235167{col 40}{space 1}   -2.10{col 49}{space 3}0.042{col 57}{space 4} -.096935{col 70}{space 3}-.0019493
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0523493{col 29}{space 2} .0298813{col 40}{space 1}    1.75{col 49}{space 3}0.087{col 57}{space 4}-.0079973{col 70}{space 3} .1126959
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0462867{col 29}{space 2} .0310467{col 40}{space 1}    1.49{col 49}{space 3}0.144{col 57}{space 4}-.0164133{col 70}{space 3} .1089867
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0645721{col 29}{space 2} .0245604{col 40}{space 1}    2.63{col 49}{space 3}0.012{col 57}{space 4} .0149713{col 70}{space 3} .1141729
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0727033{col 29}{space 2} .0330972{col 40}{space 1}   -2.20{col 49}{space 3}0.034{col 57}{space 4}-.1395445{col 70}{space 3}-.0058621
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .1081243{col 29}{space 2} .0472705{col 40}{space 1}    2.29{col 49}{space 3}0.027{col 57}{space 4} .0126596{col 70}{space 3} .2035889
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .0486422{col 29}{space 2} .0343155{col 40}{space 1}    1.42{col 49}{space 3}0.164{col 57}{space 4}-.0206594{col 70}{space 3} .1179438
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predneglaborr = prednegotherr = prednegcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predneglaborr - prednegotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predneglaborr - prednegcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}   10.23
{txt}{col 13}Prob > F ={res}    0.0002
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 8 - Panel C/Column 4
. // This estimates the "final best equation"
. regress retstat reprecision repubbias endogg  ///
> predneglaborr prednegcapitall prednegotherr ///
> predposs pubyearr gdpp differencedd popgrowthh inflationn incomee ///
> sehacc lrcase33 [pweight = weight], noc vce(cluster idstudy)
{txt}(sum of wgt is 38.11478993733051)

Linear regression                               Number of obs     = {res}       641
                                                {txt}F(15, 41)         =  {res}    16.57
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6049
                                                {txt}Root MSE          =    {res} .97921

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        retstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}reprecision {c |}{col 17}{res}{space 2}-.0342749{col 29}{space 2} .0266066{col 40}{space 1}   -1.29{col 49}{space 3}0.205{col 57}{space 4} -.088008{col 70}{space 3} .0194582
{txt}{space 6}repubbias {c |}{col 17}{res}{space 2}-.7569982{col 29}{space 2}  .177562{col 40}{space 1}   -4.26{col 49}{space 3}0.000{col 57}{space 4}-1.115592{col 70}{space 3}-.3984045
{txt}{space 9}endogg {c |}{col 17}{res}{space 2} .0160652{col 29}{space 2} .0171777{col 40}{space 1}    0.94{col 49}{space 3}0.355{col 57}{space 4}-.0186259{col 70}{space 3} .0507562
{txt}{space 2}predneglaborr {c |}{col 17}{res}{space 2} .0102564{col 29}{space 2} .0451988{col 40}{space 1}    0.23{col 49}{space 3}0.822{col 57}{space 4}-.0810243{col 70}{space 3} .1015371
{txt}prednegcapitall {c |}{col 17}{res}{space 2}-.0140167{col 29}{space 2} .0274759{col 40}{space 1}   -0.51{col 49}{space 3}0.613{col 57}{space 4}-.0695053{col 70}{space 3}  .041472
{txt}{space 2}prednegotherr {c |}{col 17}{res}{space 2}-.1208327{col 29}{space 2} .0381118{col 40}{space 1}   -3.17{col 49}{space 3}0.003{col 57}{space 4}-.1978011{col 70}{space 3}-.0438642
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .0954535{col 29}{space 2} .0270372{col 40}{space 1}    3.53{col 49}{space 3}0.001{col 57}{space 4} .0408507{col 70}{space 3} .1500563
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0006443{col 29}{space 2}  .001684{col 40}{space 1}    0.38{col 49}{space 3}0.704{col 57}{space 4}-.0027567{col 70}{space 3} .0040452
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0635766{col 29}{space 2} .0281954{col 40}{space 1}    2.25{col 49}{space 3}0.030{col 57}{space 4} .0066349{col 70}{space 3} .1205184
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0778632{col 29}{space 2} .0271177{col 40}{space 1}   -2.87{col 49}{space 3}0.006{col 57}{space 4}-.1326286{col 70}{space 3}-.0230978
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0485621{col 29}{space 2} .0237576{col 40}{space 1}   -2.04{col 49}{space 3}0.047{col 57}{space 4}-.0965416{col 70}{space 3}-.0005826
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0310765{col 29}{space 2} .0169123{col 40}{space 1}   -1.84{col 49}{space 3}0.073{col 57}{space 4}-.0652317{col 70}{space 3} .0030787
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0384576{col 29}{space 2} .0269944{col 40}{space 1}    1.42{col 49}{space 3}0.162{col 57}{space 4}-.0160588{col 70}{space 3}  .092974
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0349979{col 29}{space 2} .0242094{col 40}{space 1}    1.45{col 49}{space 3}0.156{col 57}{space 4}-.0138939{col 70}{space 3} .0838898
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.1094897{col 29}{space 2} .0303209{col 40}{space 1}   -3.61{col 49}{space 3}0.001{col 57}{space 4}-.1707241{col 70}{space 3}-.0482554
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predneglaborr = prednegotherr = prednegcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predneglaborr - prednegotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predneglaborr - prednegcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    7.79
{txt}{col 13}Prob > F ={res}    0.0014
{txt}
{com}. 
. // TABLE 8/PANEL D
. // USING BACKWARDS STEPWISE REGRESSION
. 
. //This regression gives equal weight to each estimate
. // TABLE 8 - Panel D/Column 3
. // This estimates the "final best equation"
. regress retstat reprecision repubbias endogg  ///
> predamblaborr predambcapitall predambotherr ///
> predposs pubyearr midyearr gdpp differencedd popgrowthh ///
> unemploymentt inflationn incomee sehacc lrcase22 lrcase33 eu155 g77, noc vce(cluster idstudy)

{txt}Linear regression                               Number of obs     = {res}       641
                                                {txt}{help j_robustsingular:F(19, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6037
                                                {txt}Root MSE          =    {res} 1.0292

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        retstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}reprecision {c |}{col 17}{res}{space 2}-.0350195{col 29}{space 2} .0696696{col 40}{space 1}   -0.50{col 49}{space 3}0.618{col 57}{space 4}-.1757201{col 70}{space 3} .1056812
{txt}{space 6}repubbias {c |}{col 17}{res}{space 2}-.8007829{col 29}{space 2} .1559843{col 40}{space 1}   -5.13{col 49}{space 3}0.000{col 57}{space 4}  -1.1158{col 70}{space 3}-.4857663
{txt}{space 9}endogg {c |}{col 17}{res}{space 2}-.0053721{col 29}{space 2} .0214369{col 40}{space 1}   -0.25{col 49}{space 3}0.803{col 57}{space 4}-.0486648{col 70}{space 3} .0379206
{txt}{space 2}predamblaborr {c |}{col 17}{res}{space 2} .0526916{col 29}{space 2} .0418763{col 40}{space 1}    1.26{col 49}{space 3}0.215{col 57}{space 4}-.0318792{col 70}{space 3} .1372624
{txt}predambcapitall {c |}{col 17}{res}{space 2} .0929132{col 29}{space 2} .0268804{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4} .0386272{col 70}{space 3} .1471992
{txt}{space 2}predambotherr {c |}{col 17}{res}{space 2} .0845288{col 29}{space 2} .0314537{col 40}{space 1}    2.69{col 49}{space 3}0.010{col 57}{space 4} .0210068{col 70}{space 3} .1480508
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .1410857{col 29}{space 2} .0371498{col 40}{space 1}    3.80{col 49}{space 3}0.000{col 57}{space 4} .0660601{col 70}{space 3} .2161113
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0075608{col 29}{space 2} .0029477{col 40}{space 1}    2.56{col 49}{space 3}0.014{col 57}{space 4} .0016078{col 70}{space 3} .0135137
{txt}{space 7}midyearr {c |}{col 17}{res}{space 2}-.0062772{col 29}{space 2} .0029617{col 40}{space 1}   -2.12{col 49}{space 3}0.040{col 57}{space 4}-.0122584{col 70}{space 3} -.000296
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2} .0798543{col 29}{space 2} .0280463{col 40}{space 1}    2.85{col 49}{space 3}0.007{col 57}{space 4} .0232136{col 70}{space 3} .1364949
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0713796{col 29}{space 2} .0270184{col 40}{space 1}   -2.64{col 49}{space 3}0.012{col 57}{space 4}-.1259444{col 70}{space 3}-.0168149
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0572266{col 29}{space 2} .0278855{col 40}{space 1}   -2.05{col 49}{space 3}0.047{col 57}{space 4}-.1135426{col 70}{space 3}-.0009105
{txt}{space 2}unemploymentt {c |}{col 17}{res}{space 2} .0625411{col 29}{space 2}   .02842{col 40}{space 1}    2.20{col 49}{space 3}0.033{col 57}{space 4} .0051458{col 70}{space 3} .1199364
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2}-.0483548{col 29}{space 2} .0232905{col 40}{space 1}   -2.08{col 49}{space 3}0.044{col 57}{space 4}-.0953908{col 70}{space 3}-.0013187
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0619658{col 29}{space 2} .0341072{col 40}{space 1}    1.82{col 49}{space 3}0.077{col 57}{space 4}-.0069151{col 70}{space 3} .1308468
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2} .0402796{col 29}{space 2} .0305821{col 40}{space 1}    1.32{col 49}{space 3}0.195{col 57}{space 4}-.0214822{col 70}{space 3} .1020415
{txt}{space 7}lrcase22 {c |}{col 17}{res}{space 2} .0849431{col 29}{space 2} .0264548{col 40}{space 1}    3.21{col 49}{space 3}0.003{col 57}{space 4} .0315165{col 70}{space 3} .1383696
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2}-.0909411{col 29}{space 2} .0323464{col 40}{space 1}   -2.81{col 49}{space 3}0.008{col 57}{space 4} -.156266{col 70}{space 3}-.0256161
{txt}{space 10}eu155 {c |}{col 17}{res}{space 2} .1077654{col 29}{space 2} .0507852{col 40}{space 1}    2.12{col 49}{space 3}0.040{col 57}{space 4} .0052026{col 70}{space 3} .2103281
{txt}{space 12}g77 {c |}{col 17}{res}{space 2} .0984295{col 29}{space 2} .0393193{col 40}{space 1}    2.50{col 49}{space 3}0.016{col 57}{space 4} .0190225{col 70}{space 3} .1778364
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predamblaborr = predambotherr = predambcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predamblaborr - predambotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predamblaborr - predambcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    0.69
{txt}{col 13}Prob > F ={res}    0.5067
{txt}
{com}. 
. //This regression gives equal weight to each study
. // TABLE 8 - Panel D/Column 4
. // This estimates the "final best equation"
. regress retstat reprecision repubbias endogg  ///
> predamblaborr predambcapitall predambotherr ///
> predposs pubyearr gdpp differencedd popgrowthh inflationn incomee ///
> sehacc lrcase33 [pweight = weight], noc vce(cluster idstudy)
{txt}(sum of wgt is 38.11478993733051)

Linear regression                               Number of obs     = {res}       641
                                                {txt}F(15, 41)         =  {res}    11.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5802
                                                {txt}Root MSE          =    {res} 1.0093

{txt}{ralign 81:(Std. Err. adjusted for {res:42} clusters in idstudy)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        retstat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}reprecision {c |}{col 17}{res}{space 2}-.1133463{col 29}{space 2}  .058227{col 40}{space 1}   -1.95{col 49}{space 3}0.058{col 57}{space 4}-.2309381{col 70}{space 3} .0042455
{txt}{space 6}repubbias {c |}{col 17}{res}{space 2}-.8525059{col 29}{space 2} .1815978{col 40}{space 1}   -4.69{col 49}{space 3}0.000{col 57}{space 4} -1.21925{col 70}{space 3}-.4857617
{txt}{space 9}endogg {c |}{col 17}{res}{space 2} .0095882{col 29}{space 2} .0186946{col 40}{space 1}    0.51{col 49}{space 3}0.611{col 57}{space 4}-.0281664{col 70}{space 3} .0473428
{txt}{space 2}predamblaborr {c |}{col 17}{res}{space 2} .0541167{col 29}{space 2} .0466442{col 40}{space 1}    1.16{col 49}{space 3}0.253{col 57}{space 4}-.0400832{col 70}{space 3} .1483166
{txt}predambcapitall {c |}{col 17}{res}{space 2}  .077392{col 29}{space 2} .0363859{col 40}{space 1}    2.13{col 49}{space 3}0.039{col 57}{space 4} .0039091{col 70}{space 3} .1508749
{txt}{space 2}predambotherr {c |}{col 17}{res}{space 2} .0692363{col 29}{space 2} .0391348{col 40}{space 1}    1.77{col 49}{space 3}0.084{col 57}{space 4} -.009798{col 70}{space 3} .1482706
{txt}{space 7}predposs {c |}{col 17}{res}{space 2} .1629487{col 29}{space 2} .0432623{col 40}{space 1}    3.77{col 49}{space 3}0.001{col 57}{space 4} .0755786{col 70}{space 3} .2503187
{txt}{space 7}pubyearr {c |}{col 17}{res}{space 2} .0016202{col 29}{space 2} .0016881{col 40}{space 1}    0.96{col 49}{space 3}0.343{col 57}{space 4}-.0017889{col 70}{space 3} .0050293
{txt}{space 11}gdpp {c |}{col 17}{res}{space 2}  .063271{col 29}{space 2} .0302464{col 40}{space 1}    2.09{col 49}{space 3}0.043{col 57}{space 4} .0021872{col 70}{space 3} .1243548
{txt}{space 3}differencedd {c |}{col 17}{res}{space 2}-.0801579{col 29}{space 2} .0271376{col 40}{space 1}   -2.95{col 49}{space 3}0.005{col 57}{space 4}-.1349634{col 70}{space 3}-.0253525
{txt}{space 5}popgrowthh {c |}{col 17}{res}{space 2}-.0477661{col 29}{space 2} .0240668{col 40}{space 1}   -1.98{col 49}{space 3}0.054{col 57}{space 4}  -.09637{col 70}{space 3} .0008378
{txt}{space 5}inflationn {c |}{col 17}{res}{space 2} -.029899{col 29}{space 2} .0171391{col 40}{space 1}   -1.74{col 49}{space 3}0.089{col 57}{space 4}-.0645121{col 70}{space 3}  .004714
{txt}{space 8}incomee {c |}{col 17}{res}{space 2} .0444907{col 29}{space 2} .0291063{col 40}{space 1}    1.53{col 49}{space 3}0.134{col 57}{space 4}-.0142906{col 70}{space 3}  .103272
{txt}{space 9}sehacc {c |}{col 17}{res}{space 2}  .041213{col 29}{space 2} .0238271{col 40}{space 1}    1.73{col 49}{space 3}0.091{col 57}{space 4}-.0069067{col 70}{space 3} .0893328
{txt}{space 7}lrcase33 {c |}{col 17}{res}{space 2} -.121211{col 29}{space 2} .0315138{col 40}{space 1}   -3.85{col 49}{space 3}0.000{col 57}{space 4}-.1848544{col 70}{space 3}-.0575677
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. test (predamblaborr = predambotherr = predambcapitall) 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}predamblaborr - predambotherr = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} predamblaborr - predambcapitall = 0{p_end}

{txt}       F(  2,    41) ={res}    0.41
{txt}{col 13}Prob > F ={res}    0.6650
{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}\\file\UsersW$\wrr15\Home\My Documents\My Files\TAXES AND ECONOMIC GROWTH IN OECD COUNTRIES - A META-ANALYSIS\SUBMISSION TO PFR\DATA AND PROGRAMS\Part3 Results(20200102).smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 3 Jan 2020, 07:35:27
{txt}{.-}
{smcl}
{txt}{sf}{ul off}